Computer_Vision/Image classification with modern MLP models(MLP_mixer,FNet,gMLP,WarmupCosine).ipynb

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"
    },
    "image-3.png": {
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"
    },
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"
    }
   },
   "cell_type": "markdown",
   "id": "08d1b4be",
   "metadata": {},
   "source": [
    "* PAPER - MLP-Mixer: An all-MLP Architecture for Vision - [PDF](https://arxiv.org/pdf/2105.01601.pdf)\n",
    "![image.png](attachment:image.png)\n",
    "* PAPER - FNet: Mixing Tokens with Fourier Transforms - [PDF](https://arxiv.org/pdf/2105.03824.pdf)\n",
    "![image-2.png](attachment:image-2.png)\n",
    "* PAPER - Pay Attention to MLPs(gMLP) - [PDF](https://arxiv.org/pdf/2105.08050.pdf)\n",
    "![image-3.png](attachment:image-3.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "424fbf2e",
   "metadata": {},
   "source": [
    "# 준비"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd5be84b",
   "metadata": {},
   "source": [
    "## 라이브러리 호출"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f8013455",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T06:38:22.418198Z",
     "start_time": "2022-09-04T06:38:17.939315Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras import layers\n",
    "import tensorflow_addons as tfa\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(action='ignore')\n",
    "\n",
    "from termcolor import colored\n",
    "from tqdm.notebook import tqdm"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58f93ea9",
   "metadata": {},
   "source": [
    "## 데이터"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a0c9fd6d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T06:38:40.890984Z",
     "start_time": "2022-09-04T06:38:40.538799Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "x_train shape: (50000, 32, 32, 3) - y_train shape: (50000, 1)\n",
      "x_test shape: (10000, 32, 32, 3) - y_test shape: (10000, 1)\n"
     ]
    }
   ],
   "source": [
    "num_classes = 100\n",
    "input_shape = (32, 32, 3)\n",
    "\n",
    "(x_train, y_train), (x_test, y_test) = keras.datasets.cifar100.load_data()\n",
    "\n",
    "print(f\"x_train shape: {x_train.shape} - y_train shape: {y_train.shape}\")\n",
    "print(f\"x_test shape: {x_test.shape} - y_test shape: {y_test.shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d50a32e",
   "metadata": {},
   "source": [
    "## 하이퍼 파라미터 설정"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "385b94aa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T07:19:34.711129Z",
     "start_time": "2022-09-04T07:19:34.706762Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image size: 64 X 64 = 4096\n",
      "Patch size: 8 X 8 = 64 \n",
      "Patches per image: 64\n",
      "Elements per patch (3 channels): 192\n"
     ]
    }
   ],
   "source": [
    "WEIGHT_DECAY = 0.0001\n",
    "batch_size = 128\n",
    "num_epochs = 100\n",
    "dropout_rate = 0.2\n",
    "image_size = 64  # We'll resize input images to this size.\n",
    "patch_size = 8  # Size of the patches to be extracted from the input images.\n",
    "num_patches = (image_size // patch_size) ** 2  # Size of the data array.\n",
    "embedding_dim = 256  # Number of hidden units.\n",
    "num_blocks = 4  # Number of blocks.\n",
    "\n",
    "print(f\"Image size: {image_size} X {image_size} = {image_size ** 2}\")\n",
    "print(f\"Patch size: {patch_size} X {patch_size} = {patch_size ** 2} \")\n",
    "print(f\"Patches per image: {num_patches}\")\n",
    "print(f\"Elements per patch (3 channels): {(patch_size ** 2) * 3}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a2dfaa3",
   "metadata": {},
   "source": [
    "## 증강"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3e8d0ea5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T06:42:35.243621Z",
     "start_time": "2022-09-04T06:42:30.434677Z"
    }
   },
   "outputs": [],
   "source": [
    "data_augmentation = keras.Sequential(\n",
    "    [\n",
    "        layers.Normalization(),\n",
    "        layers.Resizing(image_size, image_size),\n",
    "        layers.RandomFlip(\"horizontal\"),\n",
    "        layers.RandomZoom(\n",
    "            height_factor=0.2, width_factor=0.2\n",
    "        ),\n",
    "    ],\n",
    "    name=\"data_augmentation\",\n",
    ")\n",
    "# Compute the mean and the variance of the training data for normalization.\n",
    "data_augmentation.layers[0].adapt(x_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "311df765",
   "metadata": {},
   "source": [
    "# 모델링"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d8ce0371",
   "metadata": {},
   "source": [
    "## Patch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a89c689b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T06:54:02.660201Z",
     "start_time": "2022-09-04T06:54:02.656131Z"
    }
   },
   "outputs": [],
   "source": [
    "class Patches(layers.Layer):\n",
    "    def __init__(self, patch_size, num_patches):\n",
    "        super(Patches, self).__init__()\n",
    "        self.patch_size = patch_size # 패치의 사지으\n",
    "        self.num_patches = num_patches # 패치 개수\n",
    "\n",
    "    def call(self, images):\n",
    "        batch_size = tf.shape(images)[0] # 배치 개수\n",
    "        patches = tf.image.extract_patches(\n",
    "            images=images,\n",
    "            sizes=[1, self.patch_size, self.patch_size, 1],\n",
    "            strides=[1, self.patch_size, self.patch_size, 1],\n",
    "            rates=[1, 1, 1, 1],\n",
    "            padding=\"VALID\",\n",
    "        )\n",
    "        patch_dims = patches.shape[-1]\n",
    "        patches = tf.reshape(patches, [batch_size, self.num_patches, patch_dims])\n",
    "        return patches"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbd9a095",
   "metadata": {},
   "source": [
    "## Classification model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4a846162",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T06:53:28.263401Z",
     "start_time": "2022-09-04T06:53:28.254396Z"
    }
   },
   "outputs": [],
   "source": [
    "def build_classifier(blocks, positional_encoding=False):\n",
    "    inputs = layers.Input(shape=input_shape)\n",
    "\n",
    "    augmented = data_augmentation(inputs) # 전처리 + 증강\n",
    "    patches = Patches(patch_size, num_patches)(augmented) # 이미지를 패치로 나눔\n",
    "    x = layers.Dense(units=embedding_dim)(patches) # 패치 임베딩\n",
    "    \n",
    "    if positional_encoding: #positional 임베딩 유/무\n",
    "        positions = tf.range(start=0, limit=num_patches, delta=1)\n",
    "        position_embedding = layers.Embedding(input_dim=num_patches, output_dim=embedding_dim)(positions)\n",
    "        x = x + position_embedding\n",
    "        \n",
    "    x = blocks(x) # 모듈블럭\n",
    "   \n",
    "    representation = layers.GlobalAveragePooling1D()(x) # [batch_size, embedding_dim] 로 GAP1D   \n",
    "    representation = layers.Dropout(rate=dropout_rate)(representation) # Apply dropout.\n",
    "    logits = layers.Dense(num_classes)(representation) # output\n",
    "\n",
    "    return keras.Model(inputs=inputs, outputs=logits)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7aebf09d",
   "metadata": {},
   "source": [
    "## warmup_cosine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e74ba3f6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T07:02:24.109303Z",
     "start_time": "2022-09-04T07:02:24.103655Z"
    }
   },
   "outputs": [],
   "source": [
    "class WarmUpCosine(keras.optimizers.schedules.LearningRateSchedule):\n",
    "    def __init__(\n",
    "        self, learning_rate_base, total_steps, warmup_learning_rate, warmup_steps\n",
    "    ):\n",
    "        super(WarmUpCosine, self).__init__()\n",
    "\n",
    "        self.learning_rate_base = learning_rate_base\n",
    "        self.total_steps = total_steps\n",
    "        self.warmup_learning_rate = warmup_learning_rate\n",
    "        self.warmup_steps = warmup_steps\n",
    "        self.pi = tf.constant(np.pi)\n",
    "\n",
    "    def __call__(self, step):\n",
    "        if self.total_steps < self.warmup_steps:\n",
    "            raise ValueError(\"Total_steps must be larger or equal to warmup_steps.\")\n",
    "\n",
    "        cos_annealed_lr = tf.cos(\n",
    "            self.pi\n",
    "            * (tf.cast(step, tf.float32) - self.warmup_steps)\n",
    "            / float(self.total_steps - self.warmup_steps)\n",
    "        )\n",
    "        learning_rate = 0.5 * self.learning_rate_base * (1 + cos_annealed_lr)\n",
    "\n",
    "        if self.warmup_steps > 0:\n",
    "            if self.learning_rate_base < self.warmup_learning_rate:\n",
    "                raise ValueError(\n",
    "                    \"Learning_rate_base must be larger or equal to \"\n",
    "                    \"warmup_learning_rate.\"\n",
    "                )\n",
    "            slope = (\n",
    "                self.learning_rate_base - self.warmup_learning_rate\n",
    "            ) / self.warmup_steps\n",
    "            warmup_rate = slope * tf.cast(step, tf.float32) + self.warmup_learning_rate\n",
    "            learning_rate = tf.where(\n",
    "                step < self.warmup_steps, warmup_rate, learning_rate\n",
    "            )\n",
    "        return tf.where(\n",
    "            step > self.total_steps, 0.0, learning_rate, name=\"learning_rate\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7a8c8f9",
   "metadata": {},
   "source": [
    "## 컴파일 및 훈련"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "614ffa92",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T07:14:05.730746Z",
     "start_time": "2022-09-04T07:14:05.715245Z"
    }
   },
   "outputs": [],
   "source": [
    "def run_experiment(model):\n",
    "    total_steps = int((len(x_train) / batch_size) * num_epochs)\n",
    "    warmup_epoch_percentage = 0.10\n",
    "    warmup_steps = int(total_steps * warmup_epoch_percentage)\n",
    "    scheduled_lrs = WarmUpCosine(\n",
    "        learning_rate_base=learning_rate,\n",
    "        total_steps=total_steps,\n",
    "        warmup_learning_rate=0.0,\n",
    "        warmup_steps=warmup_steps,\n",
    "    )\n",
    "\n",
    "    early_stopping = tf.keras.callbacks.EarlyStopping(\n",
    "        monitor=\"val_loss\", patience=10, restore_best_weights=True\n",
    "    )\n",
    "    \n",
    "    optimizer = tfa.optimizers.AdamW(\n",
    "        learning_rate=learning_rate, weight_decay=weight_decay\n",
    "    )\n",
    "\n",
    "    model.compile(\n",
    "        optimizer=optimizer,\n",
    "        loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
    "        metrics=[\n",
    "            keras.metrics.SparseCategoricalAccuracy(name=\"accuracy\"),\n",
    "            keras.metrics.SparseTopKCategoricalAccuracy(5, name=\"top-5-accuracy\"),\n",
    "        ],\n",
    "    )\n",
    "\n",
    "    history = model.fit(\n",
    "        x=x_train,\n",
    "        y=y_train,\n",
    "        batch_size=batch_size,\n",
    "        epochs=num_epochs,\n",
    "        validation_split=0.1,\n",
    "        callbacks=[early_stopping],\n",
    "    )\n",
    "    _, accuracy, top_5_accuracy = model.evaluate(x_test, y_test, batch_size=batch_size)\n",
    "    print(f\"Test accuracy: {round(accuracy * 100, 2)}%\")\n",
    "    print(f\"Test top 5 accuracy: {round(top_5_accuracy * 100, 2)}%\")\n",
    "\n",
    "    return history"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c5fd6bf",
   "metadata": {},
   "source": [
    "# 훈련"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ad66e6f",
   "metadata": {},
   "source": [
    "## MLP-Mixer module"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d4c883fa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T07:13:20.015689Z",
     "start_time": "2022-09-04T07:13:20.007674Z"
    }
   },
   "outputs": [],
   "source": [
    "class MLPMixerLayer(layers.Layer):\n",
    "    def __init__(self, num_patches, hidden_units, dropout_rate, *args, **kwargs):\n",
    "        super(MLPMixerLayer, self).__init__(*args, **kwargs)\n",
    "\n",
    "        self.mlp1 = keras.Sequential(\n",
    "            [\n",
    "                layers.Dense(units=num_patches),\n",
    "                tfa.layers.GELU(),\n",
    "                layers.Dense(units=num_patches),\n",
    "                layers.Dropout(rate=dropout_rate),\n",
    "            ]\n",
    "        )\n",
    "        self.mlp2 = keras.Sequential(\n",
    "            [\n",
    "                layers.Dense(units=num_patches),\n",
    "                tfa.layers.GELU(),\n",
    "                layers.Dense(units=embedding_dim),\n",
    "                layers.Dropout(rate=dropout_rate),\n",
    "            ]\n",
    "        )\n",
    "        self.normalize = layers.LayerNormalization(epsilon=1e-6)\n",
    "\n",
    "    def call(self, inputs):\n",
    "        # Apply layer normalization.\n",
    "        x = self.normalize(inputs)\n",
    "        # Transpose inputs from [num_batches, num_patches, hidden_units] to [num_batches, hidden_units, num_patches].\n",
    "        x_channels = tf.linalg.matrix_transpose(x)\n",
    "        # Apply mlp1 on each channel independently.\n",
    "        mlp1_outputs = self.mlp1(x_channels)\n",
    "        # Transpose mlp1_outputs from [num_batches, hidden_dim, num_patches] to [num_batches, num_patches, hidden_units].\n",
    "        mlp1_outputs = tf.linalg.matrix_transpose(mlp1_outputs)\n",
    "        # Add skip connection.\n",
    "        x = mlp1_outputs + inputs\n",
    "        # Apply layer normalization.\n",
    "        x_patches = self.normalize(x)\n",
    "        # Apply mlp2 on each patch independtenly.\n",
    "        mlp2_outputs = self.mlp2(x_patches)\n",
    "        # Add skip connection.\n",
    "        x = x + mlp2_outputs\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "3da7497e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T08:04:23.303703Z",
     "start_time": "2022-09-04T07:19:37.402386Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "352/352 [==============================] - 34s 87ms/step - loss: 3.8595 - accuracy: 0.1129 - top-5-accuracy: 0.3185 - val_loss: 3.5331 - val_accuracy: 0.1694 - val_top-5-accuracy: 0.4326\n",
      "Epoch 2/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 3.3734 - accuracy: 0.1924 - top-5-accuracy: 0.4613 - val_loss: 3.3292 - val_accuracy: 0.2190 - val_top-5-accuracy: 0.5024\n",
      "Epoch 3/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 3.1646 - accuracy: 0.2281 - top-5-accuracy: 0.5169 - val_loss: 3.0698 - val_accuracy: 0.2564 - val_top-5-accuracy: 0.5492\n",
      "Epoch 4/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.9977 - accuracy: 0.2618 - top-5-accuracy: 0.5591 - val_loss: 2.9993 - val_accuracy: 0.2670 - val_top-5-accuracy: 0.5834\n",
      "Epoch 5/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.8969 - accuracy: 0.2792 - top-5-accuracy: 0.5860 - val_loss: 2.8383 - val_accuracy: 0.3012 - val_top-5-accuracy: 0.6120\n",
      "Epoch 6/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.8039 - accuracy: 0.2981 - top-5-accuracy: 0.6049 - val_loss: 2.7099 - val_accuracy: 0.3214 - val_top-5-accuracy: 0.6374\n",
      "Epoch 7/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.7386 - accuracy: 0.3116 - top-5-accuracy: 0.6211 - val_loss: 2.7051 - val_accuracy: 0.3258 - val_top-5-accuracy: 0.6488\n",
      "Epoch 8/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.6865 - accuracy: 0.3209 - top-5-accuracy: 0.6327 - val_loss: 2.6703 - val_accuracy: 0.3324 - val_top-5-accuracy: 0.6548\n",
      "Epoch 9/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.6355 - accuracy: 0.3302 - top-5-accuracy: 0.6455 - val_loss: 2.6145 - val_accuracy: 0.3514 - val_top-5-accuracy: 0.6638\n",
      "Epoch 10/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.5978 - accuracy: 0.3396 - top-5-accuracy: 0.6522 - val_loss: 2.5784 - val_accuracy: 0.3486 - val_top-5-accuracy: 0.6664\n",
      "Epoch 11/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.5571 - accuracy: 0.3448 - top-5-accuracy: 0.6622 - val_loss: 2.5583 - val_accuracy: 0.3568 - val_top-5-accuracy: 0.6748\n",
      "Epoch 12/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.5321 - accuracy: 0.3504 - top-5-accuracy: 0.6702 - val_loss: 2.5243 - val_accuracy: 0.3714 - val_top-5-accuracy: 0.6900\n",
      "Epoch 13/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.4953 - accuracy: 0.3588 - top-5-accuracy: 0.6764 - val_loss: 2.6756 - val_accuracy: 0.3526 - val_top-5-accuracy: 0.6628\n",
      "Epoch 14/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.4637 - accuracy: 0.3680 - top-5-accuracy: 0.6850 - val_loss: 2.5003 - val_accuracy: 0.3796 - val_top-5-accuracy: 0.6952\n",
      "Epoch 15/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.4428 - accuracy: 0.3697 - top-5-accuracy: 0.6856 - val_loss: 2.4909 - val_accuracy: 0.3912 - val_top-5-accuracy: 0.6974\n",
      "Epoch 16/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.4185 - accuracy: 0.3720 - top-5-accuracy: 0.6936 - val_loss: 2.4845 - val_accuracy: 0.3804 - val_top-5-accuracy: 0.6940\n",
      "Epoch 17/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.3953 - accuracy: 0.3804 - top-5-accuracy: 0.6982 - val_loss: 2.3930 - val_accuracy: 0.3950 - val_top-5-accuracy: 0.7094\n",
      "Epoch 18/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.3733 - accuracy: 0.3823 - top-5-accuracy: 0.7029 - val_loss: 2.5549 - val_accuracy: 0.3714 - val_top-5-accuracy: 0.6862\n",
      "Epoch 19/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.3438 - accuracy: 0.3896 - top-5-accuracy: 0.7099 - val_loss: 2.4786 - val_accuracy: 0.3870 - val_top-5-accuracy: 0.7022\n",
      "Epoch 20/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.3207 - accuracy: 0.3973 - top-5-accuracy: 0.7145 - val_loss: 2.4956 - val_accuracy: 0.3890 - val_top-5-accuracy: 0.7072\n",
      "Epoch 21/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.3060 - accuracy: 0.3957 - top-5-accuracy: 0.7170 - val_loss: 2.3540 - val_accuracy: 0.4092 - val_top-5-accuracy: 0.7240\n",
      "Epoch 22/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.2908 - accuracy: 0.4002 - top-5-accuracy: 0.7192 - val_loss: 2.3893 - val_accuracy: 0.4010 - val_top-5-accuracy: 0.7170\n",
      "Epoch 23/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.2623 - accuracy: 0.4062 - top-5-accuracy: 0.7242 - val_loss: 2.3590 - val_accuracy: 0.4082 - val_top-5-accuracy: 0.7156\n",
      "Epoch 24/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.2605 - accuracy: 0.4098 - top-5-accuracy: 0.7260 - val_loss: 2.3476 - val_accuracy: 0.4050 - val_top-5-accuracy: 0.7260\n",
      "Epoch 25/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.2640 - accuracy: 0.4062 - top-5-accuracy: 0.7266 - val_loss: 2.3664 - val_accuracy: 0.4126 - val_top-5-accuracy: 0.7196\n",
      "Epoch 26/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.2373 - accuracy: 0.4105 - top-5-accuracy: 0.7309 - val_loss: 2.3000 - val_accuracy: 0.4110 - val_top-5-accuracy: 0.7304\n",
      "Epoch 27/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 2.2121 - accuracy: 0.4180 - top-5-accuracy: 0.7354 - val_loss: 2.3597 - val_accuracy: 0.4082 - val_top-5-accuracy: 0.7248\n",
      "Epoch 28/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.2072 - accuracy: 0.4184 - top-5-accuracy: 0.7354 - val_loss: 2.3375 - val_accuracy: 0.4106 - val_top-5-accuracy: 0.7210\n",
      "Epoch 29/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.1912 - accuracy: 0.4242 - top-5-accuracy: 0.7392 - val_loss: 2.3518 - val_accuracy: 0.4108 - val_top-5-accuracy: 0.7194\n",
      "Epoch 30/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.1786 - accuracy: 0.4223 - top-5-accuracy: 0.7431 - val_loss: 2.3682 - val_accuracy: 0.4058 - val_top-5-accuracy: 0.7216\n",
      "Epoch 31/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.1854 - accuracy: 0.4227 - top-5-accuracy: 0.7414 - val_loss: 2.3786 - val_accuracy: 0.4224 - val_top-5-accuracy: 0.7222\n",
      "Epoch 32/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.1619 - accuracy: 0.4301 - top-5-accuracy: 0.7458 - val_loss: 2.3420 - val_accuracy: 0.4126 - val_top-5-accuracy: 0.7308\n",
      "Epoch 33/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.1609 - accuracy: 0.4280 - top-5-accuracy: 0.7462 - val_loss: 2.3707 - val_accuracy: 0.4164 - val_top-5-accuracy: 0.7246\n",
      "Epoch 34/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.1446 - accuracy: 0.4294 - top-5-accuracy: 0.7514 - val_loss: 2.2925 - val_accuracy: 0.4272 - val_top-5-accuracy: 0.7324\n",
      "Epoch 35/100\n",
      "352/352 [==============================] - 29s 81ms/step - loss: 2.1355 - accuracy: 0.4332 - top-5-accuracy: 0.7512 - val_loss: 2.2429 - val_accuracy: 0.4310 - val_top-5-accuracy: 0.7460\n",
      "Epoch 36/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 2.1329 - accuracy: 0.4318 - top-5-accuracy: 0.7538 - val_loss: 2.2332 - val_accuracy: 0.4410 - val_top-5-accuracy: 0.7424\n",
      "Epoch 37/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 2.1220 - accuracy: 0.4353 - top-5-accuracy: 0.7546 - val_loss: 2.2701 - val_accuracy: 0.4234 - val_top-5-accuracy: 0.7362\n",
      "Epoch 38/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.1263 - accuracy: 0.4358 - top-5-accuracy: 0.7535 - val_loss: 2.2977 - val_accuracy: 0.4326 - val_top-5-accuracy: 0.7342\n",
      "Epoch 39/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.1111 - accuracy: 0.4372 - top-5-accuracy: 0.7564 - val_loss: 2.3011 - val_accuracy: 0.4180 - val_top-5-accuracy: 0.7356\n",
      "Epoch 40/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.1091 - accuracy: 0.4376 - top-5-accuracy: 0.7563 - val_loss: 2.2106 - val_accuracy: 0.4344 - val_top-5-accuracy: 0.7478\n",
      "Epoch 41/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.0971 - accuracy: 0.4412 - top-5-accuracy: 0.7598 - val_loss: 2.2574 - val_accuracy: 0.4304 - val_top-5-accuracy: 0.7388\n",
      "Epoch 42/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "352/352 [==============================] - 30s 84ms/step - loss: 2.0964 - accuracy: 0.4433 - top-5-accuracy: 0.7602 - val_loss: 2.2118 - val_accuracy: 0.4390 - val_top-5-accuracy: 0.7528\n",
      "Epoch 43/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.0810 - accuracy: 0.4449 - top-5-accuracy: 0.7590 - val_loss: 2.2697 - val_accuracy: 0.4342 - val_top-5-accuracy: 0.7408\n",
      "Epoch 44/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.0931 - accuracy: 0.4431 - top-5-accuracy: 0.7606 - val_loss: 2.3102 - val_accuracy: 0.4234 - val_top-5-accuracy: 0.7420\n",
      "Epoch 45/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.0699 - accuracy: 0.4482 - top-5-accuracy: 0.7622 - val_loss: 2.1944 - val_accuracy: 0.4388 - val_top-5-accuracy: 0.7502\n",
      "Epoch 46/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0769 - accuracy: 0.4472 - top-5-accuracy: 0.7643 - val_loss: 2.2907 - val_accuracy: 0.4200 - val_top-5-accuracy: 0.7384\n",
      "Epoch 47/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.0790 - accuracy: 0.4420 - top-5-accuracy: 0.7625 - val_loss: 2.2486 - val_accuracy: 0.4352 - val_top-5-accuracy: 0.7472\n",
      "Epoch 48/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.0729 - accuracy: 0.4462 - top-5-accuracy: 0.7628 - val_loss: 2.3729 - val_accuracy: 0.4294 - val_top-5-accuracy: 0.7416\n",
      "Epoch 49/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.0613 - accuracy: 0.4493 - top-5-accuracy: 0.7668 - val_loss: 2.2794 - val_accuracy: 0.4296 - val_top-5-accuracy: 0.7400\n",
      "Epoch 50/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 2.0549 - accuracy: 0.4523 - top-5-accuracy: 0.7666 - val_loss: 2.1806 - val_accuracy: 0.4492 - val_top-5-accuracy: 0.7554\n",
      "Epoch 51/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 2.0573 - accuracy: 0.4520 - top-5-accuracy: 0.7666 - val_loss: 2.2325 - val_accuracy: 0.4320 - val_top-5-accuracy: 0.7506\n",
      "Epoch 52/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 2.0450 - accuracy: 0.4535 - top-5-accuracy: 0.7697 - val_loss: 2.2418 - val_accuracy: 0.4348 - val_top-5-accuracy: 0.7526\n",
      "Epoch 53/100\n",
      "352/352 [==============================] - 29s 81ms/step - loss: 2.0445 - accuracy: 0.4524 - top-5-accuracy: 0.7713 - val_loss: 2.1485 - val_accuracy: 0.4444 - val_top-5-accuracy: 0.7580\n",
      "Epoch 54/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.0424 - accuracy: 0.4516 - top-5-accuracy: 0.7678 - val_loss: 2.2079 - val_accuracy: 0.4340 - val_top-5-accuracy: 0.7510\n",
      "Epoch 55/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0386 - accuracy: 0.4548 - top-5-accuracy: 0.7699 - val_loss: 2.2537 - val_accuracy: 0.4328 - val_top-5-accuracy: 0.7444\n",
      "Epoch 56/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0388 - accuracy: 0.4558 - top-5-accuracy: 0.7694 - val_loss: 2.2576 - val_accuracy: 0.4302 - val_top-5-accuracy: 0.7480\n",
      "Epoch 57/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0310 - accuracy: 0.4574 - top-5-accuracy: 0.7718 - val_loss: 2.1793 - val_accuracy: 0.4532 - val_top-5-accuracy: 0.7638\n",
      "Epoch 58/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0236 - accuracy: 0.4586 - top-5-accuracy: 0.7741 - val_loss: 2.1942 - val_accuracy: 0.4504 - val_top-5-accuracy: 0.7554\n",
      "Epoch 59/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.0287 - accuracy: 0.4569 - top-5-accuracy: 0.7702 - val_loss: 2.2560 - val_accuracy: 0.4374 - val_top-5-accuracy: 0.7484\n",
      "Epoch 60/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.0211 - accuracy: 0.4583 - top-5-accuracy: 0.7746 - val_loss: 2.2275 - val_accuracy: 0.4360 - val_top-5-accuracy: 0.7516\n",
      "Epoch 61/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0090 - accuracy: 0.4607 - top-5-accuracy: 0.7772 - val_loss: 2.1380 - val_accuracy: 0.4528 - val_top-5-accuracy: 0.7654\n",
      "Epoch 62/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.0138 - accuracy: 0.4610 - top-5-accuracy: 0.7750 - val_loss: 2.2093 - val_accuracy: 0.4506 - val_top-5-accuracy: 0.7654\n",
      "Epoch 63/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0034 - accuracy: 0.4624 - top-5-accuracy: 0.7765 - val_loss: 2.2212 - val_accuracy: 0.4424 - val_top-5-accuracy: 0.7516\n",
      "Epoch 64/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0057 - accuracy: 0.4609 - top-5-accuracy: 0.7793 - val_loss: 2.1949 - val_accuracy: 0.4558 - val_top-5-accuracy: 0.7594\n",
      "Epoch 65/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0051 - accuracy: 0.4598 - top-5-accuracy: 0.7767 - val_loss: 2.2286 - val_accuracy: 0.4406 - val_top-5-accuracy: 0.7496\n",
      "Epoch 66/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9924 - accuracy: 0.4674 - top-5-accuracy: 0.7780 - val_loss: 2.1337 - val_accuracy: 0.4502 - val_top-5-accuracy: 0.7648\n",
      "Epoch 67/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 1.9977 - accuracy: 0.4651 - top-5-accuracy: 0.7792 - val_loss: 2.1954 - val_accuracy: 0.4504 - val_top-5-accuracy: 0.7598\n",
      "Epoch 68/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9981 - accuracy: 0.4617 - top-5-accuracy: 0.7778 - val_loss: 2.1760 - val_accuracy: 0.4512 - val_top-5-accuracy: 0.7574\n",
      "Epoch 69/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 1.9890 - accuracy: 0.4669 - top-5-accuracy: 0.7780 - val_loss: 2.1359 - val_accuracy: 0.4590 - val_top-5-accuracy: 0.7702\n",
      "Epoch 70/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 1.9740 - accuracy: 0.4688 - top-5-accuracy: 0.7812 - val_loss: 2.1423 - val_accuracy: 0.4640 - val_top-5-accuracy: 0.7696\n",
      "Epoch 71/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9789 - accuracy: 0.4667 - top-5-accuracy: 0.7814 - val_loss: 2.1678 - val_accuracy: 0.4504 - val_top-5-accuracy: 0.7632\n",
      "Epoch 72/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 1.9800 - accuracy: 0.4696 - top-5-accuracy: 0.7800 - val_loss: 2.1550 - val_accuracy: 0.4550 - val_top-5-accuracy: 0.7732\n",
      "Epoch 73/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 1.9847 - accuracy: 0.4659 - top-5-accuracy: 0.7804 - val_loss: 2.1652 - val_accuracy: 0.4600 - val_top-5-accuracy: 0.7632\n",
      "Epoch 74/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 1.9764 - accuracy: 0.4672 - top-5-accuracy: 0.7827 - val_loss: 2.1343 - val_accuracy: 0.4506 - val_top-5-accuracy: 0.7672\n",
      "Epoch 75/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 1.9528 - accuracy: 0.4751 - top-5-accuracy: 0.7861 - val_loss: 2.1141 - val_accuracy: 0.4630 - val_top-5-accuracy: 0.7690\n",
      "Epoch 76/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 1.9702 - accuracy: 0.4677 - top-5-accuracy: 0.7817 - val_loss: 2.1615 - val_accuracy: 0.4550 - val_top-5-accuracy: 0.7582\n",
      "Epoch 77/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9645 - accuracy: 0.4707 - top-5-accuracy: 0.7833 - val_loss: 2.2626 - val_accuracy: 0.4466 - val_top-5-accuracy: 0.7522\n",
      "Epoch 78/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 1.9650 - accuracy: 0.4679 - top-5-accuracy: 0.7830 - val_loss: 2.1666 - val_accuracy: 0.4488 - val_top-5-accuracy: 0.7662\n",
      "Epoch 79/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 1.9610 - accuracy: 0.4730 - top-5-accuracy: 0.7844 - val_loss: 2.1599 - val_accuracy: 0.4604 - val_top-5-accuracy: 0.7684\n",
      "Epoch 80/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 1.9561 - accuracy: 0.4729 - top-5-accuracy: 0.7844 - val_loss: 2.1919 - val_accuracy: 0.4396 - val_top-5-accuracy: 0.7588\n",
      "Epoch 81/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 1.9464 - accuracy: 0.4749 - top-5-accuracy: 0.7876 - val_loss: 2.0955 - val_accuracy: 0.4680 - val_top-5-accuracy: 0.7720\n",
      "Epoch 82/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 1.9567 - accuracy: 0.4724 - top-5-accuracy: 0.7839 - val_loss: 2.2004 - val_accuracy: 0.4598 - val_top-5-accuracy: 0.7526\n",
      "Epoch 83/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "352/352 [==============================] - 29s 83ms/step - loss: 1.9590 - accuracy: 0.4711 - top-5-accuracy: 0.7858 - val_loss: 2.1308 - val_accuracy: 0.4572 - val_top-5-accuracy: 0.7664\n",
      "Epoch 84/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 1.9514 - accuracy: 0.4735 - top-5-accuracy: 0.7859 - val_loss: 2.1714 - val_accuracy: 0.4660 - val_top-5-accuracy: 0.7590\n",
      "Epoch 85/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 1.9485 - accuracy: 0.4730 - top-5-accuracy: 0.7879 - val_loss: 2.1076 - val_accuracy: 0.4704 - val_top-5-accuracy: 0.7714\n",
      "Epoch 86/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 1.9349 - accuracy: 0.4776 - top-5-accuracy: 0.7906 - val_loss: 2.1633 - val_accuracy: 0.4582 - val_top-5-accuracy: 0.7636\n",
      "Epoch 87/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9416 - accuracy: 0.4756 - top-5-accuracy: 0.7884 - val_loss: 2.1201 - val_accuracy: 0.4632 - val_top-5-accuracy: 0.7696\n",
      "Epoch 88/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 1.9499 - accuracy: 0.4761 - top-5-accuracy: 0.7868 - val_loss: 2.1568 - val_accuracy: 0.4560 - val_top-5-accuracy: 0.7628\n",
      "Epoch 89/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 1.9488 - accuracy: 0.4743 - top-5-accuracy: 0.7857 - val_loss: 2.1291 - val_accuracy: 0.4568 - val_top-5-accuracy: 0.7600\n",
      "Epoch 90/100\n",
      "352/352 [==============================] - 29s 82ms/step - loss: 1.9364 - accuracy: 0.4754 - top-5-accuracy: 0.7880 - val_loss: 2.1103 - val_accuracy: 0.4644 - val_top-5-accuracy: 0.7718\n",
      "Epoch 91/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 1.9291 - accuracy: 0.4800 - top-5-accuracy: 0.7896 - val_loss: 2.1151 - val_accuracy: 0.4666 - val_top-5-accuracy: 0.7730\n",
      "79/79 [==============================] - 1s 16ms/step - loss: 2.0467 - accuracy: 0.4732 - top-5-accuracy: 0.7774\n",
      "Test accuracy: 47.32%\n",
      "Test top 5 accuracy: 77.74%\n"
     ]
    }
   ],
   "source": [
    "mlpmixer_blocks = keras.Sequential(\n",
    "    [MLPMixerLayer(num_patches, embedding_dim, dropout_rate) for _ in range(num_blocks)]\n",
    ")\n",
    "learning_rate = 0.005\n",
    "mlpmixer_classifier = build_classifier(mlpmixer_blocks)\n",
    "history = run_experiment(mlpmixer_classifier)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf411961",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T08:10:46.593904Z",
     "start_time": "2022-09-04T08:10:46.580623Z"
    }
   },
   "source": [
    "## FNet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "148b039f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T08:10:50.107624Z",
     "start_time": "2022-09-04T08:10:50.089621Z"
    }
   },
   "outputs": [],
   "source": [
    "class FNetLayer(layers.Layer):\n",
    "    def __init__(self, num_patches, embedding_dim, dropout_rate, *args, **kwargs):\n",
    "        super(FNetLayer, self).__init__(*args, **kwargs)\n",
    "\n",
    "        self.ffn = keras.Sequential(\n",
    "            [\n",
    "                layers.Dense(units=embedding_dim),\n",
    "                tfa.layers.GELU(),\n",
    "                layers.Dropout(rate=dropout_rate),\n",
    "                layers.Dense(units=embedding_dim),\n",
    "            ]\n",
    "        )\n",
    "\n",
    "        self.normalize1 = layers.LayerNormalization(epsilon=1e-6)\n",
    "        self.normalize2 = layers.LayerNormalization(epsilon=1e-6)\n",
    "\n",
    "    def call(self, inputs):\n",
    "        # Apply fourier transformations.\n",
    "        x = tf.cast(\n",
    "            tf.signal.fft2d(tf.cast(inputs, dtype=tf.dtypes.complex64)),\n",
    "            dtype=tf.dtypes.float32,\n",
    "        )\n",
    "        # Add skip connection.\n",
    "        x = x + inputs\n",
    "        # Apply layer normalization.\n",
    "        x = self.normalize1(x)\n",
    "        # Apply Feedfowrad network.\n",
    "        x_ffn = self.ffn(x)\n",
    "        # Add skip connection.\n",
    "        x = x + x_ffn\n",
    "        # Apply layer normalization.\n",
    "        return self.normalize2(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "073849f4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T08:38:32.867556Z",
     "start_time": "2022-09-04T08:11:00.251011Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "352/352 [==============================] - 32s 83ms/step - loss: 4.1103 - accuracy: 0.0744 - top-5-accuracy: 0.2340 - val_loss: 3.8057 - val_accuracy: 0.1274 - val_top-5-accuracy: 0.3282\n",
      "Epoch 2/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 3.7060 - accuracy: 0.1302 - top-5-accuracy: 0.3568 - val_loss: 3.5222 - val_accuracy: 0.1700 - val_top-5-accuracy: 0.4128\n",
      "Epoch 3/100\n",
      "352/352 [==============================] - 28s 81ms/step - loss: 3.4501 - accuracy: 0.1729 - top-5-accuracy: 0.4326 - val_loss: 3.2809 - val_accuracy: 0.2012 - val_top-5-accuracy: 0.4746\n",
      "Epoch 4/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 3.2599 - accuracy: 0.2068 - top-5-accuracy: 0.4863 - val_loss: 3.1178 - val_accuracy: 0.2416 - val_top-5-accuracy: 0.5224\n",
      "Epoch 5/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 3.0937 - accuracy: 0.2369 - top-5-accuracy: 0.5295 - val_loss: 2.9862 - val_accuracy: 0.2588 - val_top-5-accuracy: 0.5496\n",
      "Epoch 6/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.9959 - accuracy: 0.2526 - top-5-accuracy: 0.5541 - val_loss: 2.8959 - val_accuracy: 0.2858 - val_top-5-accuracy: 0.5768\n",
      "Epoch 7/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.9034 - accuracy: 0.2717 - top-5-accuracy: 0.5802 - val_loss: 2.8072 - val_accuracy: 0.2918 - val_top-5-accuracy: 0.5960\n",
      "Epoch 8/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.8297 - accuracy: 0.2863 - top-5-accuracy: 0.5964 - val_loss: 2.7828 - val_accuracy: 0.3000 - val_top-5-accuracy: 0.6030\n",
      "Epoch 9/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.7536 - accuracy: 0.3033 - top-5-accuracy: 0.6131 - val_loss: 2.6946 - val_accuracy: 0.3184 - val_top-5-accuracy: 0.6280\n",
      "Epoch 10/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.7108 - accuracy: 0.3095 - top-5-accuracy: 0.6236 - val_loss: 2.6391 - val_accuracy: 0.3306 - val_top-5-accuracy: 0.6374\n",
      "Epoch 11/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 2.6464 - accuracy: 0.3240 - top-5-accuracy: 0.6391 - val_loss: 2.5981 - val_accuracy: 0.3354 - val_top-5-accuracy: 0.6536\n",
      "Epoch 12/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.5972 - accuracy: 0.3349 - top-5-accuracy: 0.6491 - val_loss: 2.5657 - val_accuracy: 0.3426 - val_top-5-accuracy: 0.6594\n",
      "Epoch 13/100\n",
      "352/352 [==============================] - 31s 89ms/step - loss: 2.5499 - accuracy: 0.3384 - top-5-accuracy: 0.6600 - val_loss: 2.5498 - val_accuracy: 0.3396 - val_top-5-accuracy: 0.6598\n",
      "Epoch 14/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.5101 - accuracy: 0.3517 - top-5-accuracy: 0.6685 - val_loss: 2.5555 - val_accuracy: 0.3480 - val_top-5-accuracy: 0.6548\n",
      "Epoch 15/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.4706 - accuracy: 0.3590 - top-5-accuracy: 0.6772 - val_loss: 2.4748 - val_accuracy: 0.3698 - val_top-5-accuracy: 0.6768\n",
      "Epoch 16/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.4288 - accuracy: 0.3680 - top-5-accuracy: 0.6866 - val_loss: 2.4414 - val_accuracy: 0.3702 - val_top-5-accuracy: 0.6824\n",
      "Epoch 17/100\n",
      "352/352 [==============================] - 31s 87ms/step - loss: 2.3979 - accuracy: 0.3745 - top-5-accuracy: 0.6927 - val_loss: 2.3840 - val_accuracy: 0.3822 - val_top-5-accuracy: 0.6898\n",
      "Epoch 18/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.3612 - accuracy: 0.3824 - top-5-accuracy: 0.7030 - val_loss: 2.4101 - val_accuracy: 0.3750 - val_top-5-accuracy: 0.6900\n",
      "Epoch 19/100\n",
      "352/352 [==============================] - 31s 88ms/step - loss: 2.3460 - accuracy: 0.3856 - top-5-accuracy: 0.7054 - val_loss: 2.3308 - val_accuracy: 0.3930 - val_top-5-accuracy: 0.7016\n",
      "Epoch 20/100\n",
      "352/352 [==============================] - 35s 101ms/step - loss: 2.3114 - accuracy: 0.3932 - top-5-accuracy: 0.7123 - val_loss: 2.3310 - val_accuracy: 0.3938 - val_top-5-accuracy: 0.7116\n",
      "Epoch 21/100\n",
      "352/352 [==============================] - 31s 87ms/step - loss: 2.2904 - accuracy: 0.3981 - top-5-accuracy: 0.7172 - val_loss: 2.3846 - val_accuracy: 0.3858 - val_top-5-accuracy: 0.6892\n",
      "Epoch 22/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.2632 - accuracy: 0.4022 - top-5-accuracy: 0.7233 - val_loss: 2.3359 - val_accuracy: 0.3924 - val_top-5-accuracy: 0.7042\n",
      "Epoch 23/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.2403 - accuracy: 0.4090 - top-5-accuracy: 0.7267 - val_loss: 2.2956 - val_accuracy: 0.4022 - val_top-5-accuracy: 0.7116\n",
      "Epoch 24/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.2235 - accuracy: 0.4113 - top-5-accuracy: 0.7314 - val_loss: 2.3118 - val_accuracy: 0.4044 - val_top-5-accuracy: 0.7090\n",
      "Epoch 25/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.1983 - accuracy: 0.4180 - top-5-accuracy: 0.7311 - val_loss: 2.2927 - val_accuracy: 0.4074 - val_top-5-accuracy: 0.7144\n",
      "Epoch 26/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 2.1782 - accuracy: 0.4217 - top-5-accuracy: 0.7379 - val_loss: 2.2751 - val_accuracy: 0.4114 - val_top-5-accuracy: 0.7202\n",
      "Epoch 27/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.1628 - accuracy: 0.4246 - top-5-accuracy: 0.7423 - val_loss: 2.2713 - val_accuracy: 0.4134 - val_top-5-accuracy: 0.7188\n",
      "Epoch 28/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.1439 - accuracy: 0.4274 - top-5-accuracy: 0.7484 - val_loss: 2.2211 - val_accuracy: 0.4180 - val_top-5-accuracy: 0.7270\n",
      "Epoch 29/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 2.1326 - accuracy: 0.4336 - top-5-accuracy: 0.7479 - val_loss: 2.2233 - val_accuracy: 0.4202 - val_top-5-accuracy: 0.7282\n",
      "Epoch 30/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 2.1145 - accuracy: 0.4354 - top-5-accuracy: 0.7512 - val_loss: 2.2296 - val_accuracy: 0.4198 - val_top-5-accuracy: 0.7306\n",
      "Epoch 31/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.0988 - accuracy: 0.4401 - top-5-accuracy: 0.7569 - val_loss: 2.2143 - val_accuracy: 0.4194 - val_top-5-accuracy: 0.7302\n",
      "Epoch 32/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 2.0861 - accuracy: 0.4422 - top-5-accuracy: 0.7565 - val_loss: 2.2399 - val_accuracy: 0.4126 - val_top-5-accuracy: 0.7316\n",
      "Epoch 33/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0788 - accuracy: 0.4437 - top-5-accuracy: 0.7602 - val_loss: 2.1956 - val_accuracy: 0.4288 - val_top-5-accuracy: 0.7350\n",
      "Epoch 34/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0535 - accuracy: 0.4467 - top-5-accuracy: 0.7645 - val_loss: 2.1932 - val_accuracy: 0.4344 - val_top-5-accuracy: 0.7350\n",
      "Epoch 35/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0396 - accuracy: 0.4518 - top-5-accuracy: 0.7656 - val_loss: 2.2947 - val_accuracy: 0.4092 - val_top-5-accuracy: 0.7166\n",
      "Epoch 36/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0307 - accuracy: 0.4532 - top-5-accuracy: 0.7712 - val_loss: 2.2072 - val_accuracy: 0.4230 - val_top-5-accuracy: 0.7312\n",
      "Epoch 37/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 2.0268 - accuracy: 0.4546 - top-5-accuracy: 0.7682 - val_loss: 2.1907 - val_accuracy: 0.4338 - val_top-5-accuracy: 0.7358\n",
      "Epoch 38/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 2.0167 - accuracy: 0.4580 - top-5-accuracy: 0.7725 - val_loss: 2.1998 - val_accuracy: 0.4246 - val_top-5-accuracy: 0.7284\n",
      "Epoch 39/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 2.0109 - accuracy: 0.4590 - top-5-accuracy: 0.7719 - val_loss: 2.2215 - val_accuracy: 0.4224 - val_top-5-accuracy: 0.7264\n",
      "Epoch 40/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 1.9899 - accuracy: 0.4644 - top-5-accuracy: 0.7783 - val_loss: 2.1729 - val_accuracy: 0.4340 - val_top-5-accuracy: 0.7386\n",
      "Epoch 41/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9893 - accuracy: 0.4637 - top-5-accuracy: 0.7774 - val_loss: 2.1576 - val_accuracy: 0.4380 - val_top-5-accuracy: 0.7446\n",
      "Epoch 42/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "352/352 [==============================] - 30s 86ms/step - loss: 1.9854 - accuracy: 0.4647 - top-5-accuracy: 0.7767 - val_loss: 2.1832 - val_accuracy: 0.4312 - val_top-5-accuracy: 0.7414\n",
      "Epoch 43/100\n",
      "352/352 [==============================] - 29s 84ms/step - loss: 1.9676 - accuracy: 0.4697 - top-5-accuracy: 0.7815 - val_loss: 2.1614 - val_accuracy: 0.4396 - val_top-5-accuracy: 0.7468\n",
      "Epoch 44/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 1.9577 - accuracy: 0.4697 - top-5-accuracy: 0.7843 - val_loss: 2.1554 - val_accuracy: 0.4374 - val_top-5-accuracy: 0.7348\n",
      "Epoch 45/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9445 - accuracy: 0.4746 - top-5-accuracy: 0.7862 - val_loss: 2.1355 - val_accuracy: 0.4436 - val_top-5-accuracy: 0.7450\n",
      "Epoch 46/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 1.9416 - accuracy: 0.4730 - top-5-accuracy: 0.7868 - val_loss: 2.2188 - val_accuracy: 0.4220 - val_top-5-accuracy: 0.7306\n",
      "Epoch 47/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9420 - accuracy: 0.4768 - top-5-accuracy: 0.7839 - val_loss: 2.2318 - val_accuracy: 0.4246 - val_top-5-accuracy: 0.7308\n",
      "Epoch 48/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 1.9180 - accuracy: 0.4793 - top-5-accuracy: 0.7899 - val_loss: 2.1713 - val_accuracy: 0.4364 - val_top-5-accuracy: 0.7380\n",
      "Epoch 49/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9134 - accuracy: 0.4798 - top-5-accuracy: 0.7921 - val_loss: 2.1379 - val_accuracy: 0.4412 - val_top-5-accuracy: 0.7526\n",
      "Epoch 50/100\n",
      "352/352 [==============================] - 30s 85ms/step - loss: 1.9070 - accuracy: 0.4806 - top-5-accuracy: 0.7915 - val_loss: 2.1531 - val_accuracy: 0.4376 - val_top-5-accuracy: 0.7408\n",
      "Epoch 51/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 1.8962 - accuracy: 0.4851 - top-5-accuracy: 0.7965 - val_loss: 2.1597 - val_accuracy: 0.4400 - val_top-5-accuracy: 0.7446\n",
      "Epoch 52/100\n",
      "352/352 [==============================] - 30s 86ms/step - loss: 1.8980 - accuracy: 0.4831 - top-5-accuracy: 0.7972 - val_loss: 2.1721 - val_accuracy: 0.4322 - val_top-5-accuracy: 0.7454\n",
      "Epoch 53/100\n",
      "352/352 [==============================] - 29s 83ms/step - loss: 1.8850 - accuracy: 0.4857 - top-5-accuracy: 0.7971 - val_loss: 2.1631 - val_accuracy: 0.4398 - val_top-5-accuracy: 0.7424\n",
      "Epoch 54/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 1.8718 - accuracy: 0.4875 - top-5-accuracy: 0.7991 - val_loss: 2.1480 - val_accuracy: 0.4478 - val_top-5-accuracy: 0.7464\n",
      "Epoch 55/100\n",
      "352/352 [==============================] - 30s 84ms/step - loss: 1.8820 - accuracy: 0.4886 - top-5-accuracy: 0.7994 - val_loss: 2.1398 - val_accuracy: 0.4456 - val_top-5-accuracy: 0.7492\n",
      "79/79 [==============================] - 1s 15ms/step - loss: 2.1114 - accuracy: 0.4449 - top-5-accuracy: 0.7514\n",
      "Test accuracy: 44.49%\n",
      "Test top 5 accuracy: 75.14%\n"
     ]
    }
   ],
   "source": [
    "fnet_blocks = keras.Sequential(\n",
    "    [FNetLayer(num_patches, embedding_dim, dropout_rate) for _ in range(num_blocks)]\n",
    ")\n",
    "learning_rate = 0.001\n",
    "fnet_classifier = build_classifier(fnet_blocks, positional_encoding=True)\n",
    "history2 = run_experiment(fnet_classifier)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0f27c5ee",
   "metadata": {},
   "source": [
    "## gMLP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "deb944e3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T08:38:32.883561Z",
     "start_time": "2022-09-04T08:38:32.869558Z"
    }
   },
   "outputs": [],
   "source": [
    "class gMLPLayer(layers.Layer):\n",
    "    def __init__(self, num_patches, embedding_dim, dropout_rate, *args, **kwargs):\n",
    "        super(gMLPLayer, self).__init__(*args, **kwargs)\n",
    "\n",
    "        self.channel_projection1 = keras.Sequential(            [\n",
    "                layers.Dense(units=embedding_dim * 2),\n",
    "                tfa.layers.GELU(),\n",
    "                layers.Dropout(rate=dropout_rate),\n",
    "            ]\n",
    "        )\n",
    "\n",
    "        self.channel_projection2 = layers.Dense(units=embedding_dim)\n",
    "\n",
    "        self.spatial_projection = layers.Dense(\n",
    "            units=num_patches, bias_initializer=\"Ones\"\n",
    "        )\n",
    "\n",
    "        self.normalize1 = layers.LayerNormalization(epsilon=1e-6)\n",
    "        self.normalize2 = layers.LayerNormalization(epsilon=1e-6)\n",
    "\n",
    "    def spatial_gating_unit(self, x):\n",
    "        # Split x along the channel dimensions.\n",
    "        # Tensors u and v will in th shape of [batch_size, num_patchs, embedding_dim].\n",
    "        u, v = tf.split(x, num_or_size_splits=2, axis=2)\n",
    "        # Apply layer normalization.\n",
    "        v = self.normalize2(v)\n",
    "        # Apply spatial projection.\n",
    "        v_channels = tf.linalg.matrix_transpose(v)\n",
    "        v_projected = self.spatial_projection(v_channels)\n",
    "        v_projected = tf.linalg.matrix_transpose(v_projected)\n",
    "        # Apply element-wise multiplication.\n",
    "        return u * v_projected\n",
    "\n",
    "    def call(self, inputs):\n",
    "        # Apply layer normalization.\n",
    "        x = self.normalize1(inputs)\n",
    "        # Apply the first channel projection. x_projected shape: [batch_size, num_patches, embedding_dim * 2].\n",
    "        x_projected = self.channel_projection1(x)\n",
    "        # Apply the spatial gating unit. x_spatial shape: [batch_size, num_patches, embedding_dim].\n",
    "        x_spatial = self.spatial_gating_unit(x_projected)\n",
    "        # Apply the second channel projection. x_projected shape: [batch_size, num_patches, embedding_dim].\n",
    "        x_projected = self.channel_projection2(x_spatial)\n",
    "        # Add skip connection.\n",
    "        return x + x_projected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "69e7ad06",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T09:04:37.265919Z",
     "start_time": "2022-09-04T08:38:32.884561Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "352/352 [==============================] - 35s 92ms/step - loss: 3.9176 - accuracy: 0.0972 - top-5-accuracy: 0.2993 - val_loss: 3.5952 - val_accuracy: 0.1386 - val_top-5-accuracy: 0.3962\n",
      "Epoch 2/100\n",
      "352/352 [==============================] - 32s 90ms/step - loss: 3.4629 - accuracy: 0.1682 - top-5-accuracy: 0.4320 - val_loss: 3.2762 - val_accuracy: 0.2146 - val_top-5-accuracy: 0.4890\n",
      "Epoch 3/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 3.2609 - accuracy: 0.2063 - top-5-accuracy: 0.4872 - val_loss: 3.0940 - val_accuracy: 0.2456 - val_top-5-accuracy: 0.5336\n",
      "Epoch 4/100\n",
      "352/352 [==============================] - 33s 93ms/step - loss: 3.0694 - accuracy: 0.2431 - top-5-accuracy: 0.5389 - val_loss: 2.9530 - val_accuracy: 0.2782 - val_top-5-accuracy: 0.5676\n",
      "Epoch 5/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 2.9401 - accuracy: 0.2694 - top-5-accuracy: 0.5669 - val_loss: 2.9668 - val_accuracy: 0.2756 - val_top-5-accuracy: 0.5638\n",
      "Epoch 6/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 2.8344 - accuracy: 0.2890 - top-5-accuracy: 0.5929 - val_loss: 2.8255 - val_accuracy: 0.2978 - val_top-5-accuracy: 0.5988\n",
      "Epoch 7/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 2.7550 - accuracy: 0.3027 - top-5-accuracy: 0.6120 - val_loss: 2.7459 - val_accuracy: 0.3160 - val_top-5-accuracy: 0.6220\n",
      "Epoch 8/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.6925 - accuracy: 0.3154 - top-5-accuracy: 0.6272 - val_loss: 2.7030 - val_accuracy: 0.3248 - val_top-5-accuracy: 0.6294\n",
      "Epoch 9/100\n",
      "352/352 [==============================] - 33s 93ms/step - loss: 2.6256 - accuracy: 0.3300 - top-5-accuracy: 0.6397 - val_loss: 2.5832 - val_accuracy: 0.3504 - val_top-5-accuracy: 0.6548\n",
      "Epoch 10/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.5452 - accuracy: 0.3472 - top-5-accuracy: 0.6601 - val_loss: 2.5418 - val_accuracy: 0.3522 - val_top-5-accuracy: 0.6660\n",
      "Epoch 11/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.4906 - accuracy: 0.3587 - top-5-accuracy: 0.6730 - val_loss: 2.5691 - val_accuracy: 0.3608 - val_top-5-accuracy: 0.6556\n",
      "Epoch 12/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 2.4385 - accuracy: 0.3698 - top-5-accuracy: 0.6856 - val_loss: 2.4309 - val_accuracy: 0.3808 - val_top-5-accuracy: 0.6846\n",
      "Epoch 13/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.3645 - accuracy: 0.3838 - top-5-accuracy: 0.7017 - val_loss: 2.4213 - val_accuracy: 0.3924 - val_top-5-accuracy: 0.6904\n",
      "Epoch 14/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.3124 - accuracy: 0.3956 - top-5-accuracy: 0.7112 - val_loss: 2.3526 - val_accuracy: 0.3974 - val_top-5-accuracy: 0.7024\n",
      "Epoch 15/100\n",
      "352/352 [==============================] - 33s 93ms/step - loss: 2.2701 - accuracy: 0.4052 - top-5-accuracy: 0.7207 - val_loss: 2.3348 - val_accuracy: 0.4062 - val_top-5-accuracy: 0.7078\n",
      "Epoch 16/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.2342 - accuracy: 0.4115 - top-5-accuracy: 0.7271 - val_loss: 2.3336 - val_accuracy: 0.4036 - val_top-5-accuracy: 0.7128\n",
      "Epoch 17/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 2.2008 - accuracy: 0.4205 - top-5-accuracy: 0.7354 - val_loss: 2.3367 - val_accuracy: 0.4106 - val_top-5-accuracy: 0.7104\n",
      "Epoch 18/100\n",
      "352/352 [==============================] - 33s 92ms/step - loss: 2.1694 - accuracy: 0.4263 - top-5-accuracy: 0.7426 - val_loss: 2.2974 - val_accuracy: 0.4094 - val_top-5-accuracy: 0.7228\n",
      "Epoch 19/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 2.1300 - accuracy: 0.4319 - top-5-accuracy: 0.7464 - val_loss: 2.2885 - val_accuracy: 0.4134 - val_top-5-accuracy: 0.7256\n",
      "Epoch 20/100\n",
      "352/352 [==============================] - 33s 93ms/step - loss: 2.1084 - accuracy: 0.4397 - top-5-accuracy: 0.7550 - val_loss: 2.2336 - val_accuracy: 0.4282 - val_top-5-accuracy: 0.7362\n",
      "Epoch 21/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.0770 - accuracy: 0.4471 - top-5-accuracy: 0.7591 - val_loss: 2.2671 - val_accuracy: 0.4242 - val_top-5-accuracy: 0.7266\n",
      "Epoch 22/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.0602 - accuracy: 0.4496 - top-5-accuracy: 0.7639 - val_loss: 2.2405 - val_accuracy: 0.4250 - val_top-5-accuracy: 0.7302\n",
      "Epoch 23/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 2.0308 - accuracy: 0.4561 - top-5-accuracy: 0.7692 - val_loss: 2.2776 - val_accuracy: 0.4214 - val_top-5-accuracy: 0.7294\n",
      "Epoch 24/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 2.0151 - accuracy: 0.4602 - top-5-accuracy: 0.7734 - val_loss: 2.2605 - val_accuracy: 0.4290 - val_top-5-accuracy: 0.7328\n",
      "Epoch 25/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.9956 - accuracy: 0.4652 - top-5-accuracy: 0.7739 - val_loss: 2.2569 - val_accuracy: 0.4226 - val_top-5-accuracy: 0.7298\n",
      "Epoch 26/100\n",
      "352/352 [==============================] - 33s 92ms/step - loss: 1.9716 - accuracy: 0.4705 - top-5-accuracy: 0.7810 - val_loss: 2.2291 - val_accuracy: 0.4322 - val_top-5-accuracy: 0.7346\n",
      "Epoch 27/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.9599 - accuracy: 0.4715 - top-5-accuracy: 0.7835 - val_loss: 2.2278 - val_accuracy: 0.4330 - val_top-5-accuracy: 0.7390\n",
      "Epoch 28/100\n",
      "352/352 [==============================] - 33s 93ms/step - loss: 1.9370 - accuracy: 0.4759 - top-5-accuracy: 0.7881 - val_loss: 2.2886 - val_accuracy: 0.4296 - val_top-5-accuracy: 0.7356\n",
      "Epoch 29/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.9186 - accuracy: 0.4836 - top-5-accuracy: 0.7912 - val_loss: 2.2381 - val_accuracy: 0.4348 - val_top-5-accuracy: 0.7412\n",
      "Epoch 30/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.8987 - accuracy: 0.4854 - top-5-accuracy: 0.7934 - val_loss: 2.1836 - val_accuracy: 0.4560 - val_top-5-accuracy: 0.7496\n",
      "Epoch 31/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 1.8762 - accuracy: 0.4910 - top-5-accuracy: 0.7999 - val_loss: 2.2170 - val_accuracy: 0.4434 - val_top-5-accuracy: 0.7430\n",
      "Epoch 32/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.8604 - accuracy: 0.4950 - top-5-accuracy: 0.8007 - val_loss: 2.2396 - val_accuracy: 0.4472 - val_top-5-accuracy: 0.7404\n",
      "Epoch 33/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 1.8414 - accuracy: 0.4985 - top-5-accuracy: 0.8047 - val_loss: 2.2152 - val_accuracy: 0.4530 - val_top-5-accuracy: 0.7564\n",
      "Epoch 34/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.8257 - accuracy: 0.5011 - top-5-accuracy: 0.8082 - val_loss: 2.2342 - val_accuracy: 0.4444 - val_top-5-accuracy: 0.7390\n",
      "Epoch 35/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.8096 - accuracy: 0.5045 - top-5-accuracy: 0.8099 - val_loss: 2.2133 - val_accuracy: 0.4484 - val_top-5-accuracy: 0.7534\n",
      "Epoch 36/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.7814 - accuracy: 0.5117 - top-5-accuracy: 0.8165 - val_loss: 2.2180 - val_accuracy: 0.4498 - val_top-5-accuracy: 0.7458\n",
      "Epoch 37/100\n",
      "352/352 [==============================] - 32s 90ms/step - loss: 1.7744 - accuracy: 0.5109 - top-5-accuracy: 0.8164 - val_loss: 2.2125 - val_accuracy: 0.4524 - val_top-5-accuracy: 0.7466\n",
      "Epoch 38/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.7633 - accuracy: 0.5130 - top-5-accuracy: 0.8217 - val_loss: 2.1469 - val_accuracy: 0.4540 - val_top-5-accuracy: 0.7576\n",
      "Epoch 39/100\n",
      "352/352 [==============================] - 32s 91ms/step - loss: 1.7499 - accuracy: 0.5180 - top-5-accuracy: 0.8213 - val_loss: 2.1925 - val_accuracy: 0.4486 - val_top-5-accuracy: 0.7540\n",
      "Epoch 40/100\n",
      "352/352 [==============================] - 32s 92ms/step - loss: 1.7307 - accuracy: 0.5226 - top-5-accuracy: 0.8268 - val_loss: 2.2143 - val_accuracy: 0.4446 - val_top-5-accuracy: 0.7578\n",
      "Epoch 41/100\n",
      "352/352 [==============================] - 33s 93ms/step - loss: 1.7163 - accuracy: 0.5231 - top-5-accuracy: 0.8280 - val_loss: 2.1717 - val_accuracy: 0.4698 - val_top-5-accuracy: 0.7630\n",
      "Epoch 42/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "352/352 [==============================] - 33s 93ms/step - loss: 1.7122 - accuracy: 0.5261 - top-5-accuracy: 0.8267 - val_loss: 2.1639 - val_accuracy: 0.4636 - val_top-5-accuracy: 0.7574\n",
      "Epoch 43/100\n",
      "352/352 [==============================] - 33s 93ms/step - loss: 1.7018 - accuracy: 0.5304 - top-5-accuracy: 0.8302 - val_loss: 2.1847 - val_accuracy: 0.4560 - val_top-5-accuracy: 0.7618\n",
      "Epoch 44/100\n",
      "352/352 [==============================] - 33s 93ms/step - loss: 1.6917 - accuracy: 0.5327 - top-5-accuracy: 0.8310 - val_loss: 2.1896 - val_accuracy: 0.4588 - val_top-5-accuracy: 0.7594\n",
      "Epoch 45/100\n",
      "352/352 [==============================] - 34s 97ms/step - loss: 1.6709 - accuracy: 0.5384 - top-5-accuracy: 0.8342 - val_loss: 2.1936 - val_accuracy: 0.4554 - val_top-5-accuracy: 0.7574\n",
      "Epoch 46/100\n",
      "352/352 [==============================] - 34s 96ms/step - loss: 1.6662 - accuracy: 0.5392 - top-5-accuracy: 0.8374 - val_loss: 2.1971 - val_accuracy: 0.4614 - val_top-5-accuracy: 0.7640\n",
      "Epoch 47/100\n",
      "352/352 [==============================] - 34s 98ms/step - loss: 1.6485 - accuracy: 0.5420 - top-5-accuracy: 0.8388 - val_loss: 2.1791 - val_accuracy: 0.4644 - val_top-5-accuracy: 0.7552\n",
      "Epoch 48/100\n",
      "352/352 [==============================] - 34s 95ms/step - loss: 1.6438 - accuracy: 0.5442 - top-5-accuracy: 0.8399 - val_loss: 2.1784 - val_accuracy: 0.4722 - val_top-5-accuracy: 0.7632\n",
      "79/79 [==============================] - 2s 20ms/step - loss: 2.1113 - accuracy: 0.4746 - top-5-accuracy: 0.7654\n",
      "Test accuracy: 47.46%\n",
      "Test top 5 accuracy: 76.54%\n"
     ]
    }
   ],
   "source": [
    "gmlp_blocks = keras.Sequential(\n",
    "    [gMLPLayer(num_patches, embedding_dim, dropout_rate) for _ in range(num_blocks)]\n",
    ")\n",
    "learning_rate = 0.003\n",
    "gmlp_classifier = build_classifier(gmlp_blocks)\n",
    "history3 = run_experiment(gmlp_classifier)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd857299",
   "metadata": {},
   "source": [
    "## 평가"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "9721fe0b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-09-04T09:16:16.850980Z",
     "start_time": "2022-09-04T09:16:16.134716Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MLP-Mixer result plot\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1656x504 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FNet result plot\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1656x504 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gMLP result plot\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1656x504 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "for his , name in zip([history, history2, history3],[\"MLP-Mixer\", \"FNet\", \"gMLP\"]):\n",
    "    print(f\"{name} result plot\")\n",
    "    loss = his.history[\"loss\"]\n",
    "    val_loss = his.history[\"val_loss\"]\n",
    "\n",
    "    acc = his.history[\"accuracy\"]\n",
    "    val_acc = his.history[\"val_accuracy\"]\n",
    "\n",
    "    top1_acc = his.history[\"top-5-accuracy\"]\n",
    "    val_top1_acc = his.history[\"val_top-5-accuracy\"]\n",
    "\n",
    "    plt.figure(figsize=(23,7))\n",
    "    plt.style.use(\"seaborn-white\")\n",
    "    # loss \n",
    "    plt.subplot(131)\n",
    "    epochs = range(1, 1+len(loss))\n",
    "    xbins = range(0, len(loss)+1, 10)\n",
    "    plt.plot(epochs, loss, lw=2,linestyle=':', label=\"loss\")\n",
    "    plt.plot(epochs, val_loss, lw=2,marker='.', label=\"val_loss\")\n",
    "    plt.xlabel('Epochs');plt.ylabel('Loss')\n",
    "    x, y = epochs[-1], loss[-1]\n",
    "    plt.text(x, y, np.round(y,2))\n",
    "    x, y = epochs[-1], val_loss[-1]\n",
    "    plt.text(x, y, np.round(y,2))\n",
    "    plt.legend()\n",
    "    plt.title(\"Loss\")\n",
    "\n",
    "    plt.subplot(132)\n",
    "    plt.plot(epochs, acc, lw=2,linestyle=':', label=\"acc\")\n",
    "    plt.plot(epochs, val_acc, lw=2,marker='.', label=\"val_acc\")\n",
    "    plt.xlabel('Epochs');plt.ylabel('Loss')\n",
    "    x, y = epochs[-1], acc[-1]\n",
    "    plt.text(x, y, np.round(y,2))\n",
    "    x, y = epochs[-1], val_acc[-1]\n",
    "    plt.text(x, y, np.round(y,2))\n",
    "    plt.legend()\n",
    "    plt.title(\"Acc\")\n",
    "\n",
    "    plt.subplot(133)\n",
    "    plt.plot(epochs, top1_acc, lw=2,linestyle=':',label=\"top1_acc\")\n",
    "    plt.plot(epochs, val_top1_acc, lw=2,marker='.', label=\"val_top1_acc\")\n",
    "    plt.xlabel('Epochs');plt.ylabel('Loss')\n",
    "    x, y = epochs[-1], top1_acc[-1]\n",
    "    plt.text(x, y, np.round(y,2))\n",
    "    x, y = epochs[-1], val_top1_acc[-1]\n",
    "    plt.text(x, y, np.round(y,2))\n",
    "    plt.legend()\n",
    "    plt.title(\"Top5-Acc\")\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf55af3e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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