assignments/2021/assignment2/FullyConnectedNets.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Bitdribble/cs231n/blob/master/assignments/2021/assignment2/FullyConnectedNets.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "r-_hNQ0xn55J",
        "outputId": "1db1ab63-c8ab-4a38-ba11-07ccd8628516"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n",
            "/content/drive/My Drive/cs231n/assignments/assignment2/cs231n/datasets\n",
            "/content/drive/My Drive/cs231n/assignments/assignment2\n"
          ]
        }
      ],
      "source": [
        "# This mounts your Google Drive to the Colab VM.\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "# TODO: Enter the foldername in your Drive where you have saved the unzipped\n",
        "# assignment folder, e.g. 'cs231n/assignments/assignment1/'\n",
        "FOLDERNAME = 'cs231n/assignments/assignment2'\n",
        "assert FOLDERNAME is not None, \"[!] Enter the foldername.\"\n",
        "\n",
        "# Now that we've mounted your Drive, this ensures that\n",
        "# the Python interpreter of the Colab VM can load\n",
        "# python files from within it.\n",
        "import sys\n",
        "sys.path.append('/content/drive/My Drive/{}'.format(FOLDERNAME))\n",
        "\n",
        "# This downloads the CIFAR-10 dataset to your Drive\n",
        "# if it doesn't already exist.\n",
        "%cd /content/drive/My\\ Drive/$FOLDERNAME/cs231n/datasets/\n",
        "!bash get_datasets.sh\n",
        "%cd /content/drive/My\\ Drive/$FOLDERNAME"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hQHS5QDVn55N"
      },
      "source": [
        "# Multi-Layer Fully Connected Network\n",
        "In this exercise, you will implement a fully connected network with an arbitrary number of hidden layers."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EthHbLjPn55O"
      },
      "source": [
        "Read through the `FullyConnectedNet` class in the file `cs231n/classifiers/fc_net.py`.\n",
        "\n",
        "Implement the network initialization, forward pass, and backward pass. Throughout this assignment, you will be implementing layers in `cs231n/layers.py`. You can re-use your implementations for `affine_forward`, `affine_backward`, `relu_forward`, `relu_backward`, and `softmax_loss` from Assignment 1. For right now, don't worry about implementing dropout or batch/layer normalization yet, as you will add those features later.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "tags": [
          "pdf-ignore"
        ],
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1lgyo3Osn55P",
        "outputId": "fb243cdd-4482-409c-d0e8-a50d059ef960"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "=========== You can safely ignore the message below if you are NOT working on ConvolutionalNetworks.ipynb ===========\n",
            "\tYou will need to compile a Cython extension for a portion of this assignment.\n",
            "\tThe instructions to do this will be given in a section of the notebook below.\n"
          ]
        }
      ],
      "source": [
        "# Setup cell.\n",
        "import time\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from cs231n.classifiers.fc_net import *\n",
        "from cs231n.data_utils import get_CIFAR10_data\n",
        "from cs231n.gradient_check import eval_numerical_gradient, eval_numerical_gradient_array\n",
        "from cs231n.solver import Solver\n",
        "\n",
        "%matplotlib inline\n",
        "plt.rcParams[\"figure.figsize\"] = (10.0, 8.0)  # Set default size of plots.\n",
        "plt.rcParams[\"image.interpolation\"] = \"nearest\"\n",
        "plt.rcParams[\"image.cmap\"] = \"gray\"\n",
        "\n",
        "%load_ext autoreload\n",
        "%autoreload 2\n",
        "\n",
        "def rel_error(x, y):\n",
        "    \"\"\"Returns relative error.\"\"\"\n",
        "    return np.max(np.abs(x - y) / (np.maximum(1e-8, np.abs(x) + np.abs(y))))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jqvrrXLKn55Q",
        "outputId": "1f26bf0c-1e2b-4647-a975-7763167f233e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "X_train: (49000, 3, 32, 32)\n",
            "y_train: (49000,)\n",
            "X_val: (1000, 3, 32, 32)\n",
            "y_val: (1000,)\n",
            "X_test: (1000, 3, 32, 32)\n",
            "y_test: (1000,)\n"
          ]
        }
      ],
      "source": [
        "# Load the (preprocessed) CIFAR-10 data.\n",
        "data = get_CIFAR10_data()\n",
        "for k, v in list(data.items()):\n",
        "    print(f\"{k}: {v.shape}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wV79hb_6n55R"
      },
      "source": [
        "## Initial Loss and Gradient Check\n",
        "\n",
        "As a sanity check, run the following to check the initial loss and to gradient check the network both with and without regularization. This is a good way to see if the initial losses seem reasonable.\n",
        "\n",
        "For gradient checking, you should expect to see errors around 1e-7 or less."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DEbJ45d4n55R",
        "outputId": "6bef0c07-1f0b-4205-b460-947c25655132"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Running check with reg =  0\n",
            "Initial loss:  2.300479089768492\n",
            "W1 relative error: 2.422780825313861e-07\n",
            "W2 relative error: 1.0139831360521187e-05\n",
            "W3 relative error: 5.134310516538826e-07\n",
            "b1 relative error: 4.805074371190622e-09\n",
            "b2 relative error: 1.2002000635763976e-09\n",
            "b3 relative error: 1.5976879570562957e-10\n",
            "Running check with reg =  3.14\n",
            "Initial loss:  7.052114776533016\n",
            "W1 relative error: 3.904541941902138e-09\n",
            "W2 relative error: 6.86942277940646e-08\n",
            "W3 relative error: 2.131129859578198e-08\n",
            "b1 relative error: 2.700682829871205e-08\n",
            "b2 relative error: 2.5757492216695857e-09\n",
            "b3 relative error: 1.5702714832602802e-10\n"
          ]
        }
      ],
      "source": [
        "np.random.seed(231)\n",
        "N, D, H1, H2, C = 2, 15, 20, 30, 10\n",
        "X = np.random.randn(N, D)\n",
        "y = np.random.randint(C, size=(N,))\n",
        "\n",
        "for reg in [0, 3.14]:\n",
        "    print(\"Running check with reg = \", reg)\n",
        "    model = FullyConnectedNet(\n",
        "        [H1, H2],\n",
        "        input_dim=D,\n",
        "        num_classes=C,\n",
        "        reg=reg,\n",
        "        weight_scale=5e-2,\n",
        "        dtype=np.float64\n",
        "    )\n",
        "\n",
        "    loss, grads = model.loss(X, y)\n",
        "    print(\"Initial loss: \", loss)\n",
        "\n",
        "    # Most of the errors should be on the order of e-7 or smaller.   \n",
        "    # NOTE: It is fine however to see an error for W2 on the order of e-5\n",
        "    # for the check when reg = 0.0\n",
        "    for name in sorted(grads):\n",
        "        f = lambda _: model.loss(X, y)[0]\n",
        "        grad_num = eval_numerical_gradient(f, model.params[name], verbose=False, h=1e-5)\n",
        "        print(f\"{name} relative error: {rel_error(grad_num, grads[name])}\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r_JA5d2Gn55S"
      },
      "source": [
        "As another sanity check, make sure your network can overfit on a small dataset of 50 images. First, we will try a three-layer network with 100 units in each hidden layer. In the following cell, tweak the **learning rate** and **weight initialization scale** to overfit and achieve 100% training accuracy within 20 epochs."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "scrolled": false,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 972
        },
        "id": "f6gzAUzLn55T",
        "outputId": "b110bb8a-ba30-4d21-b0d8-d065c4af043f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(Iteration 1 / 40) loss: 2.363364\n",
            "(Epoch 0 / 20) train acc: 0.180000; val_acc: 0.108000\n",
            "(Epoch 1 / 20) train acc: 0.320000; val_acc: 0.127000\n",
            "(Epoch 2 / 20) train acc: 0.440000; val_acc: 0.172000\n",
            "(Epoch 3 / 20) train acc: 0.500000; val_acc: 0.184000\n",
            "(Epoch 4 / 20) train acc: 0.540000; val_acc: 0.181000\n",
            "(Epoch 5 / 20) train acc: 0.740000; val_acc: 0.190000\n",
            "(Iteration 11 / 40) loss: 0.839976\n",
            "(Epoch 6 / 20) train acc: 0.740000; val_acc: 0.187000\n",
            "(Epoch 7 / 20) train acc: 0.740000; val_acc: 0.183000\n",
            "(Epoch 8 / 20) train acc: 0.820000; val_acc: 0.177000\n",
            "(Epoch 9 / 20) train acc: 0.860000; val_acc: 0.200000\n",
            "(Epoch 10 / 20) train acc: 0.920000; val_acc: 0.191000\n",
            "(Iteration 21 / 40) loss: 0.337174\n",
            "(Epoch 11 / 20) train acc: 0.960000; val_acc: 0.189000\n",
            "(Epoch 12 / 20) train acc: 0.940000; val_acc: 0.180000\n",
            "(Epoch 13 / 20) train acc: 1.000000; val_acc: 0.199000\n",
            "(Epoch 14 / 20) train acc: 1.000000; val_acc: 0.199000\n",
            "(Epoch 15 / 20) train acc: 1.000000; val_acc: 0.195000\n",
            "(Iteration 31 / 40) loss: 0.075911\n",
            "(Epoch 16 / 20) train acc: 1.000000; val_acc: 0.182000\n",
            "(Epoch 17 / 20) train acc: 1.000000; val_acc: 0.201000\n",
            "(Epoch 18 / 20) train acc: 1.000000; val_acc: 0.207000\n",
            "(Epoch 19 / 20) train acc: 1.000000; val_acc: 0.185000\n",
            "(Epoch 20 / 20) train acc: 1.000000; val_acc: 0.192000\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# TODO: Use a three-layer Net to overfit 50 training examples by \n",
        "# tweaking just the learning rate and initialization scale.\n",
        "\n",
        "num_train = 50\n",
        "small_data = {\n",
        "  \"X_train\": data[\"X_train\"][:num_train],\n",
        "  \"y_train\": data[\"y_train\"][:num_train],\n",
        "  \"X_val\": data[\"X_val\"],\n",
        "  \"y_val\": data[\"y_val\"],\n",
        "}\n",
        "\n",
        "learning_rate = 1e-2 # Original: 1e-4  # Experiment with this!\n",
        "weight_scale = 1e-2 # Original: 1e-2  # Experiment with this!\n",
        "model = FullyConnectedNet(\n",
        "    [100, 100], # Original: [100, 100]\n",
        "    weight_scale=weight_scale,\n",
        "    dtype=np.float64\n",
        ")\n",
        "solver = Solver(\n",
        "    model,\n",
        "    small_data,\n",
        "    print_every=10, # Original: 10\n",
        "    num_epochs=20,\n",
        "    batch_size=25,\n",
        "    update_rule=\"sgd\",\n",
        "    optim_config={\"learning_rate\": learning_rate},\n",
        ")\n",
        "solver.train()\n",
        "\n",
        "plt.plot(solver.loss_history)\n",
        "plt.title(\"Training loss history\")\n",
        "plt.xlabel(\"Iteration\")\n",
        "plt.ylabel(\"Training loss\")\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.subplot(2, 1, 1)\n",
        "plt.title('Training loss')\n",
        "plt.plot(solver.loss_history)\n",
        "plt.xlabel('Iteration')\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "\n",
        "plt.subplot(2, 1, 2)\n",
        "plt.title('Accuracy')\n",
        "plt.plot(solver.train_acc_history, '-o', label='train')\n",
        "plt.plot(solver.val_acc_history, '-o', label='val')\n",
        "#plt.plot([0.5] * len(solver.val_acc_history), 'k--')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(loc='lower right')\n",
        "plt.gcf().set_size_inches(15, 12)\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 730
        },
        "id": "Y1BQCtz81qzG",
        "outputId": "5bc0c9a6-7862-429c-f113-65813e2da59b"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x864 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VHWjsY96n55U"
      },
      "source": [
        "Now, try to use a five-layer network with 100 units on each layer to overfit on 50 training examples. Again, you will have to adjust the learning rate and weight initialization scale, but you should be able to achieve 100% training accuracy within 20 epochs."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ZdYd1XQ4n55U",
        "outputId": "ea09e4a1-23c5-438f-b446-4349162f7d44"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(Iteration 1 / 400) loss: 2.300803\n",
            "(Epoch 0 / 200) train acc: 0.140000; val_acc: 0.105000\n",
            "(Epoch 1 / 200) train acc: 0.180000; val_acc: 0.118000\n",
            "(Epoch 2 / 200) train acc: 0.180000; val_acc: 0.114000\n",
            "(Epoch 3 / 200) train acc: 0.200000; val_acc: 0.120000\n",
            "(Epoch 4 / 200) train acc: 0.200000; val_acc: 0.118000\n",
            "(Epoch 5 / 200) train acc: 0.200000; val_acc: 0.117000\n",
            "(Epoch 6 / 200) train acc: 0.200000; val_acc: 0.115000\n",
            "(Epoch 7 / 200) train acc: 0.220000; val_acc: 0.117000\n",
            "(Epoch 8 / 200) train acc: 0.220000; val_acc: 0.115000\n",
            "(Epoch 9 / 200) train acc: 0.240000; val_acc: 0.120000\n",
            "(Epoch 10 / 200) train acc: 0.240000; val_acc: 0.123000\n",
            "(Epoch 11 / 200) train acc: 0.240000; val_acc: 0.130000\n",
            "(Epoch 12 / 200) train acc: 0.260000; val_acc: 0.132000\n",
            "(Epoch 13 / 200) train acc: 0.260000; val_acc: 0.135000\n",
            "(Epoch 14 / 200) train acc: 0.260000; val_acc: 0.141000\n",
            "(Epoch 15 / 200) train acc: 0.260000; val_acc: 0.148000\n",
            "(Epoch 16 / 200) train acc: 0.260000; val_acc: 0.148000\n",
            "(Epoch 17 / 200) train acc: 0.260000; val_acc: 0.149000\n",
            "(Epoch 18 / 200) train acc: 0.220000; val_acc: 0.145000\n",
            "(Epoch 19 / 200) train acc: 0.240000; val_acc: 0.148000\n",
            "(Epoch 20 / 200) train acc: 0.260000; val_acc: 0.150000\n",
            "(Epoch 21 / 200) train acc: 0.240000; val_acc: 0.149000\n",
            "(Epoch 22 / 200) train acc: 0.240000; val_acc: 0.147000\n",
            "(Epoch 23 / 200) train acc: 0.260000; val_acc: 0.148000\n",
            "(Epoch 24 / 200) train acc: 0.240000; val_acc: 0.149000\n",
            "(Epoch 25 / 200) train acc: 0.260000; val_acc: 0.153000\n",
            "(Iteration 51 / 400) loss: 1.932540\n",
            "(Epoch 26 / 200) train acc: 0.280000; val_acc: 0.155000\n",
            "(Epoch 27 / 200) train acc: 0.280000; val_acc: 0.156000\n",
            "(Epoch 28 / 200) train acc: 0.280000; val_acc: 0.156000\n",
            "(Epoch 29 / 200) train acc: 0.280000; val_acc: 0.154000\n",
            "(Epoch 30 / 200) train acc: 0.280000; val_acc: 0.156000\n",
            "(Epoch 31 / 200) train acc: 0.320000; val_acc: 0.153000\n",
            "(Epoch 32 / 200) train acc: 0.360000; val_acc: 0.153000\n",
            "(Epoch 33 / 200) train acc: 0.280000; val_acc: 0.147000\n",
            "(Epoch 34 / 200) train acc: 0.320000; val_acc: 0.143000\n",
            "(Epoch 35 / 200) train acc: 0.360000; val_acc: 0.142000\n",
            "(Epoch 36 / 200) train acc: 0.380000; val_acc: 0.150000\n",
            "(Epoch 37 / 200) train acc: 0.380000; val_acc: 0.142000\n",
            "(Epoch 38 / 200) train acc: 0.420000; val_acc: 0.154000\n",
            "(Epoch 39 / 200) train acc: 0.500000; val_acc: 0.168000\n",
            "(Epoch 40 / 200) train acc: 0.420000; val_acc: 0.152000\n",
            "(Epoch 41 / 200) train acc: 0.480000; val_acc: 0.158000\n",
            "(Epoch 42 / 200) train acc: 0.560000; val_acc: 0.161000\n",
            "(Epoch 43 / 200) train acc: 0.540000; val_acc: 0.171000\n",
            "(Epoch 44 / 200) train acc: 0.600000; val_acc: 0.173000\n",
            "(Epoch 45 / 200) train acc: 0.580000; val_acc: 0.176000\n",
            "(Epoch 46 / 200) train acc: 0.680000; val_acc: 0.170000\n",
            "(Epoch 47 / 200) train acc: 0.640000; val_acc: 0.144000\n",
            "(Epoch 48 / 200) train acc: 0.780000; val_acc: 0.173000\n",
            "(Epoch 49 / 200) train acc: 0.720000; val_acc: 0.195000\n",
            "(Epoch 50 / 200) train acc: 0.860000; val_acc: 0.202000\n",
            "(Iteration 101 / 400) loss: 0.810455\n",
            "(Epoch 51 / 200) train acc: 0.720000; val_acc: 0.173000\n",
            "(Epoch 52 / 200) train acc: 0.840000; val_acc: 0.207000\n",
            "(Epoch 53 / 200) train acc: 0.840000; val_acc: 0.185000\n",
            "(Epoch 54 / 200) train acc: 0.760000; val_acc: 0.166000\n",
            "(Epoch 55 / 200) train acc: 0.880000; val_acc: 0.208000\n",
            "(Epoch 56 / 200) train acc: 0.900000; val_acc: 0.211000\n",
            "(Epoch 57 / 200) train acc: 0.940000; val_acc: 0.201000\n",
            "(Epoch 58 / 200) train acc: 0.940000; val_acc: 0.220000\n",
            "(Epoch 59 / 200) train acc: 0.940000; val_acc: 0.216000\n",
            "(Epoch 60 / 200) train acc: 0.940000; val_acc: 0.217000\n",
            "(Epoch 61 / 200) train acc: 0.940000; val_acc: 0.212000\n",
            "(Epoch 62 / 200) train acc: 0.940000; val_acc: 0.207000\n",
            "(Epoch 63 / 200) train acc: 0.940000; val_acc: 0.215000\n",
            "(Epoch 64 / 200) train acc: 0.900000; val_acc: 0.211000\n",
            "(Epoch 65 / 200) train acc: 0.940000; val_acc: 0.214000\n",
            "(Epoch 66 / 200) train acc: 0.920000; val_acc: 0.195000\n",
            "(Epoch 67 / 200) train acc: 0.940000; val_acc: 0.189000\n",
            "(Epoch 68 / 200) train acc: 0.940000; val_acc: 0.208000\n",
            "(Epoch 69 / 200) train acc: 0.940000; val_acc: 0.204000\n",
            "(Epoch 70 / 200) train acc: 0.940000; val_acc: 0.206000\n",
            "(Epoch 71 / 200) train acc: 0.940000; val_acc: 0.209000\n",
            "(Epoch 72 / 200) train acc: 0.920000; val_acc: 0.192000\n",
            "(Epoch 73 / 200) train acc: 0.940000; val_acc: 0.205000\n",
            "(Epoch 74 / 200) train acc: 0.940000; val_acc: 0.210000\n",
            "(Epoch 75 / 200) train acc: 0.940000; val_acc: 0.206000\n",
            "(Iteration 151 / 400) loss: 0.059754\n",
            "(Epoch 76 / 200) train acc: 0.940000; val_acc: 0.211000\n",
            "(Epoch 77 / 200) train acc: 0.940000; val_acc: 0.210000\n",
            "(Epoch 78 / 200) train acc: 0.940000; val_acc: 0.204000\n",
            "(Epoch 79 / 200) train acc: 0.940000; val_acc: 0.212000\n",
            "(Epoch 80 / 200) train acc: 0.940000; val_acc: 0.211000\n",
            "(Epoch 81 / 200) train acc: 0.940000; val_acc: 0.204000\n",
            "(Epoch 82 / 200) train acc: 0.940000; val_acc: 0.207000\n",
            "(Epoch 83 / 200) train acc: 0.940000; val_acc: 0.209000\n",
            "(Epoch 84 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 85 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 86 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 87 / 200) train acc: 0.980000; val_acc: 0.216000\n",
            "(Epoch 88 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 89 / 200) train acc: 0.980000; val_acc: 0.209000\n",
            "(Epoch 90 / 200) train acc: 0.980000; val_acc: 0.211000\n",
            "(Epoch 91 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 92 / 200) train acc: 0.980000; val_acc: 0.216000\n",
            "(Epoch 93 / 200) train acc: 0.980000; val_acc: 0.213000\n",
            "(Epoch 94 / 200) train acc: 0.980000; val_acc: 0.215000\n",
            "(Epoch 95 / 200) train acc: 0.980000; val_acc: 0.210000\n",
            "(Epoch 96 / 200) train acc: 0.980000; val_acc: 0.212000\n",
            "(Epoch 97 / 200) train acc: 0.980000; val_acc: 0.217000\n",
            "(Epoch 98 / 200) train acc: 0.980000; val_acc: 0.214000\n",
            "(Epoch 99 / 200) train acc: 0.980000; val_acc: 0.216000\n",
            "(Epoch 100 / 200) train acc: 0.980000; val_acc: 0.214000\n",
            "(Iteration 201 / 400) loss: 0.126610\n",
            "(Epoch 101 / 200) train acc: 0.980000; val_acc: 0.213000\n",
            "(Epoch 102 / 200) train acc: 0.980000; val_acc: 0.213000\n",
            "(Epoch 103 / 200) train acc: 0.980000; val_acc: 0.213000\n",
            "(Epoch 104 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 105 / 200) train acc: 0.980000; val_acc: 0.210000\n",
            "(Epoch 106 / 200) train acc: 0.980000; val_acc: 0.210000\n",
            "(Epoch 107 / 200) train acc: 0.980000; val_acc: 0.212000\n",
            "(Epoch 108 / 200) train acc: 0.980000; val_acc: 0.212000\n",
            "(Epoch 109 / 200) train acc: 0.980000; val_acc: 0.212000\n",
            "(Epoch 110 / 200) train acc: 0.980000; val_acc: 0.212000\n",
            "(Epoch 111 / 200) train acc: 0.980000; val_acc: 0.211000\n",
            "(Epoch 112 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 113 / 200) train acc: 0.980000; val_acc: 0.208000\n",
            "(Epoch 114 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 115 / 200) train acc: 0.980000; val_acc: 0.209000\n",
            "(Epoch 116 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 117 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 118 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 119 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 120 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 121 / 200) train acc: 0.980000; val_acc: 0.202000\n",
            "(Epoch 122 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 123 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 124 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 125 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Iteration 251 / 400) loss: 0.006654\n",
            "(Epoch 126 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 127 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 128 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 129 / 200) train acc: 0.980000; val_acc: 0.208000\n",
            "(Epoch 130 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 131 / 200) train acc: 0.980000; val_acc: 0.208000\n",
            "(Epoch 132 / 200) train acc: 0.980000; val_acc: 0.208000\n",
            "(Epoch 133 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 134 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 135 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 136 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 137 / 200) train acc: 0.980000; val_acc: 0.208000\n",
            "(Epoch 138 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 139 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 140 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 141 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 142 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 143 / 200) train acc: 0.980000; val_acc: 0.208000\n",
            "(Epoch 144 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 145 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 146 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 147 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 148 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 149 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 150 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Iteration 301 / 400) loss: 0.004508\n",
            "(Epoch 151 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 152 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 153 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 154 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 155 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 156 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 157 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 158 / 200) train acc: 0.980000; val_acc: 0.202000\n",
            "(Epoch 159 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 160 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 161 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 162 / 200) train acc: 0.980000; val_acc: 0.202000\n",
            "(Epoch 163 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 164 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 165 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 166 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 167 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 168 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 169 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 170 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 171 / 200) train acc: 0.980000; val_acc: 0.207000\n",
            "(Epoch 172 / 200) train acc: 0.980000; val_acc: 0.208000\n",
            "(Epoch 173 / 200) train acc: 0.980000; val_acc: 0.208000\n",
            "(Epoch 174 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 175 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Iteration 351 / 400) loss: 0.003484\n",
            "(Epoch 176 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 177 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 178 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 179 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 180 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 181 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 182 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 183 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 184 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 185 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 186 / 200) train acc: 0.980000; val_acc: 0.206000\n",
            "(Epoch 187 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 188 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 189 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 190 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 191 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 192 / 200) train acc: 0.980000; val_acc: 0.205000\n",
            "(Epoch 193 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 194 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 195 / 200) train acc: 0.980000; val_acc: 0.204000\n",
            "(Epoch 196 / 200) train acc: 0.980000; val_acc: 0.203000\n",
            "(Epoch 197 / 200) train acc: 1.000000; val_acc: 0.203000\n",
            "(Epoch 198 / 200) train acc: 1.000000; val_acc: 0.205000\n",
            "(Epoch 199 / 200) train acc: 1.000000; val_acc: 0.203000\n",
            "(Epoch 200 / 200) train acc: 1.000000; val_acc: 0.205000\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# TODO: Use a five-layer Net to overfit 50 training examples by \n",
        "# tweaking just the learning rate and initialization scale.\n",
        "\n",
        "num_train = 50\n",
        "small_data = {\n",
        "  'X_train': data['X_train'][:num_train],\n",
        "  'y_train': data['y_train'][:num_train],\n",
        "  'X_val': data['X_val'],\n",
        "  'y_val': data['y_val'],\n",
        "}\n",
        "\n",
        "learning_rate = 1e-2  # 1e-2 works # Experiment with this!\n",
        "weight_scale = 1e-2   # 1e-2 works # Experiment with this!\n",
        "model = FullyConnectedNet(\n",
        "    [100, 100, 100], # length four works better\n",
        "    weight_scale=weight_scale,\n",
        "    dtype=np.float64\n",
        ")\n",
        "solver = Solver(\n",
        "    model,\n",
        "    small_data,\n",
        "    print_every=50,\n",
        "    num_epochs=200, # Had to be increased\n",
        "    batch_size=25,\n",
        "    update_rule='sgd',\n",
        "    optim_config={'learning_rate': learning_rate},\n",
        ")\n",
        "solver.train()\n",
        "\n",
        "plt.plot(solver.loss_history)\n",
        "plt.title('Training loss history')\n",
        "plt.xlabel('Iteration')\n",
        "plt.ylabel('Training loss')\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.subplot(2, 1, 1)\n",
        "plt.title('Training loss')\n",
        "plt.plot(solver.loss_history)\n",
        "plt.xlabel('Iteration')\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "\n",
        "plt.subplot(2, 1, 2)\n",
        "plt.title('Accuracy')\n",
        "plt.plot(solver.train_acc_history, '-o', label='train')\n",
        "plt.plot(solver.val_acc_history, '-o', label='val')\n",
        "#plt.plot([0.5] * len(solver.val_acc_history), 'k--')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(loc='lower right')\n",
        "plt.gcf().set_size_inches(15, 12)\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 730
        },
        "id": "qwVrtFttIvBz",
        "outputId": "3fdf9aa4-0e15-427b-b8af-09c6c3ac75d5"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x864 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [
          "pdf-inline"
        ],
        "id": "mqnUs-1cn55V"
      },
      "source": [
        "## Inline Question 1: \n",
        "Did you notice anything about the comparative difficulty of training the three-layer network vs. training the five-layer network? In particular, based on your experience, which network seemed more sensitive to the initialization scale? Why do you think that is the case?\n",
        "\n",
        "## Answer:\n",
        "Five layer network is impossible to train to overfit. Four layer network is still possible, but needs more epochs. Deeper networks need larger initialization scale."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7NZepsqqn55V"
      },
      "source": [
        "# Update rules\n",
        "So far we have used vanilla stochastic gradient descent (SGD) as our update rule. More sophisticated update rules can make it easier to train deep networks. We will implement a few of the most commonly used update rules and compare them to vanilla SGD."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "O-gJCmiYn55V"
      },
      "source": [
        "## SGD+Momentum\n",
        "Stochastic gradient descent with momentum is a widely used update rule that tends to make deep networks converge faster than vanilla stochastic gradient descent. See the Momentum Update section at http://cs231n.github.io/neural-networks-3/#sgd for more information.\n",
        "\n",
        "Open the file `cs231n/optim.py` and read the documentation at the top of the file to make sure you understand the API. Implement the SGD+momentum update rule in the function `sgd_momentum` and run the following to check your implementation. You should see errors less than e-8."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9ZSqQSzqn55W",
        "outputId": "5760ff4e-55f9-478d-e87a-13158f747f6f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "next_w error:  8.882347033505819e-09\n",
            "velocity error:  4.269287743278663e-09\n"
          ]
        }
      ],
      "source": [
        "from cs231n.optim import sgd_momentum\n",
        "\n",
        "N, D = 4, 5\n",
        "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n",
        "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n",
        "v = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n",
        "\n",
        "config = {\"learning_rate\": 1e-3, \"velocity\": v}\n",
        "next_w, _ = sgd_momentum(w, dw, config=config)\n",
        "\n",
        "expected_next_w = np.asarray([\n",
        "  [ 0.1406,      0.20738947,  0.27417895,  0.34096842,  0.40775789],\n",
        "  [ 0.47454737,  0.54133684,  0.60812632,  0.67491579,  0.74170526],\n",
        "  [ 0.80849474,  0.87528421,  0.94207368,  1.00886316,  1.07565263],\n",
        "  [ 1.14244211,  1.20923158,  1.27602105,  1.34281053,  1.4096    ]])\n",
        "expected_velocity = np.asarray([\n",
        "  [ 0.5406,      0.55475789,  0.56891579, 0.58307368,  0.59723158],\n",
        "  [ 0.61138947,  0.62554737,  0.63970526,  0.65386316,  0.66802105],\n",
        "  [ 0.68217895,  0.69633684,  0.71049474,  0.72465263,  0.73881053],\n",
        "  [ 0.75296842,  0.76712632,  0.78128421,  0.79544211,  0.8096    ]])\n",
        "\n",
        "# Should see relative errors around e-8 or less\n",
        "print(\"next_w error: \", rel_error(next_w, expected_next_w))\n",
        "print(\"velocity error: \", rel_error(expected_velocity, config[\"velocity\"]))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b7b9JR2wn55W"
      },
      "source": [
        "Once you have done so, run the following to train a six-layer network with both SGD and SGD+momentum. You should see the SGD+momentum update rule converge faster."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "scrolled": false,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "cumuNXDjn55X",
        "outputId": "e7082d5d-7900-40f0-bddf-c2e4d612422f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Running with  sgd\n",
            "(Iteration 1 / 200) loss: 2.597747\n",
            "(Epoch 0 / 5) train acc: 0.097000; val_acc: 0.088000\n",
            "(Iteration 11 / 200) loss: 2.305153\n",
            "(Iteration 21 / 200) loss: 2.193743\n",
            "(Iteration 31 / 200) loss: 2.116422\n",
            "(Epoch 1 / 5) train acc: 0.246000; val_acc: 0.213000\n",
            "(Iteration 41 / 200) loss: 2.087323\n",
            "(Iteration 51 / 200) loss: 2.150138\n",
            "(Iteration 61 / 200) loss: 2.100004\n",
            "(Iteration 71 / 200) loss: 1.966736\n",
            "(Epoch 2 / 5) train acc: 0.302000; val_acc: 0.225000\n",
            "(Iteration 81 / 200) loss: 2.021533\n",
            "(Iteration 91 / 200) loss: 1.945003\n",
            "(Iteration 101 / 200) loss: 2.005318\n",
            "(Iteration 111 / 200) loss: 2.031181\n",
            "(Epoch 3 / 5) train acc: 0.304000; val_acc: 0.245000\n",
            "(Iteration 121 / 200) loss: 1.768152\n",
            "(Iteration 131 / 200) loss: 2.019099\n",
            "(Iteration 141 / 200) loss: 1.898225\n",
            "(Iteration 151 / 200) loss: 1.958083\n",
            "(Epoch 4 / 5) train acc: 0.336000; val_acc: 0.268000\n",
            "(Iteration 161 / 200) loss: 1.816742\n",
            "(Iteration 171 / 200) loss: 1.754120\n",
            "(Iteration 181 / 200) loss: 1.843540\n",
            "(Iteration 191 / 200) loss: 1.756471\n",
            "(Epoch 5 / 5) train acc: 0.349000; val_acc: 0.289000\n",
            "Running with  sgd_momentum\n",
            "(Iteration 1 / 200) loss: 2.497595\n",
            "(Epoch 0 / 5) train acc: 0.088000; val_acc: 0.101000\n",
            "(Iteration 11 / 200) loss: 2.206324\n",
            "(Iteration 21 / 200) loss: 2.139987\n",
            "(Iteration 31 / 200) loss: 1.986272\n",
            "(Epoch 1 / 5) train acc: 0.329000; val_acc: 0.271000\n",
            "(Iteration 41 / 200) loss: 2.124689\n",
            "(Iteration 51 / 200) loss: 1.854207\n",
            "(Iteration 61 / 200) loss: 1.971297\n",
            "(Iteration 71 / 200) loss: 1.856021\n",
            "(Epoch 2 / 5) train acc: 0.386000; val_acc: 0.343000\n",
            "(Iteration 81 / 200) loss: 1.705752\n",
            "(Iteration 91 / 200) loss: 1.590033\n",
            "(Iteration 101 / 200) loss: 1.622006\n",
            "(Iteration 111 / 200) loss: 1.758647\n",
            "(Epoch 3 / 5) train acc: 0.421000; val_acc: 0.347000\n",
            "(Iteration 121 / 200) loss: 1.608928\n",
            "(Iteration 131 / 200) loss: 1.554257\n",
            "(Iteration 141 / 200) loss: 1.537322\n",
            "(Iteration 151 / 200) loss: 1.431216\n",
            "(Epoch 4 / 5) train acc: 0.509000; val_acc: 0.343000\n",
            "(Iteration 161 / 200) loss: 1.394512\n",
            "(Iteration 171 / 200) loss: 1.418648\n",
            "(Iteration 181 / 200) loss: 1.373815\n",
            "(Iteration 191 / 200) loss: 1.302737\n",
            "(Epoch 5 / 5) train acc: 0.528000; val_acc: 0.342000\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x1080 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "num_train = 4000\n",
        "small_data = {\n",
        "  'X_train': data['X_train'][:num_train],\n",
        "  'y_train': data['y_train'][:num_train],\n",
        "  'X_val': data['X_val'],\n",
        "  'y_val': data['y_val'],\n",
        "}\n",
        "\n",
        "solvers = {}\n",
        "\n",
        "for update_rule in ['sgd', 'sgd_momentum']:\n",
        "    print('Running with ', update_rule)\n",
        "    model = FullyConnectedNet(\n",
        "        [100, 100, 100, 100, 100],\n",
        "        weight_scale=5e-2\n",
        "    )\n",
        "\n",
        "    solver = Solver(\n",
        "        model,\n",
        "        small_data,\n",
        "        num_epochs=5,\n",
        "        batch_size=100,\n",
        "        update_rule=update_rule,\n",
        "        optim_config={'learning_rate': 5e-3},\n",
        "        verbose=True,\n",
        "    )\n",
        "    solvers[update_rule] = solver\n",
        "    solver.train()\n",
        "\n",
        "fig, axes = plt.subplots(3, 1, figsize=(15, 15))\n",
        "\n",
        "axes[0].set_title('Training loss')\n",
        "axes[0].set_xlabel('Iteration')\n",
        "axes[1].set_title('Training accuracy')\n",
        "axes[1].set_xlabel('Epoch')\n",
        "axes[2].set_title('Validation accuracy')\n",
        "axes[2].set_xlabel('Epoch')\n",
        "\n",
        "for update_rule, solver in solvers.items():\n",
        "    axes[0].plot(solver.loss_history, label=f\"loss_{update_rule}\")\n",
        "    axes[1].plot(solver.train_acc_history, label=f\"train_acc_{update_rule}\")\n",
        "    axes[2].plot(solver.val_acc_history, label=f\"val_acc_{update_rule}\")\n",
        "    \n",
        "for ax in axes:\n",
        "    ax.legend(loc=\"best\", ncol=4)\n",
        "    ax.grid(linestyle='--', linewidth=0.5)\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-ZMvY8Pan55X"
      },
      "source": [
        "## RMSProp and Adam\n",
        "RMSProp [1] and Adam [2] are update rules that set per-parameter learning rates by using a running average of the second moments of gradients.\n",
        "\n",
        "In the file `cs231n/optim.py`, implement the RMSProp update rule in the `rmsprop` function and implement the Adam update rule in the `adam` function, and check your implementations using the tests below.\n",
        "\n",
        "**NOTE:** Please implement the _complete_ Adam update rule (with the bias correction mechanism), not the first simplified version mentioned in the course notes. \n",
        "\n",
        "[1] Tijmen Tieleman and Geoffrey Hinton. \"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude.\" COURSERA: Neural Networks for Machine Learning 4 (2012).\n",
        "\n",
        "[2] Diederik Kingma and Jimmy Ba, \"Adam: A Method for Stochastic Optimization\", ICLR 2015."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7f31vdrZn55Y",
        "outputId": "01daa4b0-3cb3-45ab-ac41-8cd1e5d3166b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "next_w error:  9.524687511038133e-08\n",
            "cache error:  2.6477955807156126e-09\n"
          ]
        }
      ],
      "source": [
        "# Test RMSProp implementation\n",
        "from cs231n.optim import rmsprop\n",
        "\n",
        "N, D = 4, 5\n",
        "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n",
        "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n",
        "cache = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n",
        "\n",
        "config = {'learning_rate': 1e-2, 'cache': cache}\n",
        "next_w, _ = rmsprop(w, dw, config=config)\n",
        "\n",
        "expected_next_w = np.asarray([\n",
        "  [-0.39223849, -0.34037513, -0.28849239, -0.23659121, -0.18467247],\n",
        "  [-0.132737,   -0.08078555, -0.02881884,  0.02316247,  0.07515774],\n",
        "  [ 0.12716641,  0.17918792,  0.23122175,  0.28326742,  0.33532447],\n",
        "  [ 0.38739248,  0.43947102,  0.49155973,  0.54365823,  0.59576619]])\n",
        "expected_cache = np.asarray([\n",
        "  [ 0.5976,      0.6126277,   0.6277108,   0.64284931,  0.65804321],\n",
        "  [ 0.67329252,  0.68859723,  0.70395734,  0.71937285,  0.73484377],\n",
        "  [ 0.75037008,  0.7659518,   0.78158892,  0.79728144,  0.81302936],\n",
        "  [ 0.82883269,  0.84469141,  0.86060554,  0.87657507,  0.8926    ]])\n",
        "\n",
        "# You should see relative errors around e-7 or less\n",
        "print('next_w error: ', rel_error(expected_next_w, next_w))\n",
        "print('cache error: ', rel_error(expected_cache, config['cache']))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mkzE1iNLn55Y",
        "outputId": "36315668-1f86-4f3e-d636-7b249c682892"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "next_w error:  1.1395691798535431e-07\n",
            "v error:  4.208314038113071e-09\n",
            "m error:  4.214963193114416e-09\n"
          ]
        }
      ],
      "source": [
        "# Test Adam implementation\n",
        "from cs231n.optim import adam\n",
        "\n",
        "N, D = 4, 5\n",
        "w = np.linspace(-0.4, 0.6, num=N*D).reshape(N, D)\n",
        "dw = np.linspace(-0.6, 0.4, num=N*D).reshape(N, D)\n",
        "m = np.linspace(0.6, 0.9, num=N*D).reshape(N, D)\n",
        "v = np.linspace(0.7, 0.5, num=N*D).reshape(N, D)\n",
        "\n",
        "config = {'learning_rate': 1e-2, 'm': m, 'v': v, 't': 5}\n",
        "next_w, _ = adam(w, dw, config=config)\n",
        "\n",
        "expected_next_w = np.asarray([\n",
        "  [-0.40094747, -0.34836187, -0.29577703, -0.24319299, -0.19060977],\n",
        "  [-0.1380274,  -0.08544591, -0.03286534,  0.01971428,  0.0722929],\n",
        "  [ 0.1248705,   0.17744702,  0.23002243,  0.28259667,  0.33516969],\n",
        "  [ 0.38774145,  0.44031188,  0.49288093,  0.54544852,  0.59801459]])\n",
        "expected_v = np.asarray([\n",
        "  [ 0.69966,     0.68908382,  0.67851319,  0.66794809,  0.65738853,],\n",
        "  [ 0.64683452,  0.63628604,  0.6257431,   0.61520571,  0.60467385,],\n",
        "  [ 0.59414753,  0.58362676,  0.57311152,  0.56260183,  0.55209767,],\n",
        "  [ 0.54159906,  0.53110598,  0.52061845,  0.51013645,  0.49966,   ]])\n",
        "expected_m = np.asarray([\n",
        "  [ 0.48,        0.49947368,  0.51894737,  0.53842105,  0.55789474],\n",
        "  [ 0.57736842,  0.59684211,  0.61631579,  0.63578947,  0.65526316],\n",
        "  [ 0.67473684,  0.69421053,  0.71368421,  0.73315789,  0.75263158],\n",
        "  [ 0.77210526,  0.79157895,  0.81105263,  0.83052632,  0.85      ]])\n",
        "\n",
        "# You should see relative errors around e-7 or less\n",
        "print('next_w error: ', rel_error(expected_next_w, next_w))\n",
        "print('v error: ', rel_error(expected_v, config['v']))\n",
        "print('m error: ', rel_error(expected_m, config['m']))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JdGr7m_gn55Z"
      },
      "source": [
        "Once you have debugged your RMSProp and Adam implementations, run the following to train a pair of deep networks using these new update rules:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "scrolled": false,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "jOpYe-Hsn55Z",
        "outputId": "6c58f1f3-cac6-4ddf-8f44-3518249bc7fa"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Running with  adam\n",
            "(Iteration 1 / 200) loss: 2.810242\n",
            "(Epoch 0 / 5) train acc: 0.110000; val_acc: 0.114000\n",
            "(Iteration 11 / 200) loss: 2.086240\n",
            "(Iteration 21 / 200) loss: 2.156889\n",
            "(Iteration 31 / 200) loss: 1.868061\n",
            "(Epoch 1 / 5) train acc: 0.392000; val_acc: 0.326000\n",
            "(Iteration 41 / 200) loss: 1.832291\n",
            "(Iteration 51 / 200) loss: 1.638667\n",
            "(Iteration 61 / 200) loss: 1.680878\n",
            "(Iteration 71 / 200) loss: 1.600624\n",
            "(Epoch 2 / 5) train acc: 0.442000; val_acc: 0.365000\n",
            "(Iteration 81 / 200) loss: 1.715538\n",
            "(Iteration 91 / 200) loss: 1.561030\n",
            "(Iteration 101 / 200) loss: 1.525774\n",
            "(Iteration 111 / 200) loss: 1.455251\n",
            "(Epoch 3 / 5) train acc: 0.495000; val_acc: 0.364000\n",
            "(Iteration 121 / 200) loss: 1.429558\n",
            "(Iteration 131 / 200) loss: 1.466875\n",
            "(Iteration 141 / 200) loss: 1.636300\n",
            "(Iteration 151 / 200) loss: 1.480076\n",
            "(Epoch 4 / 5) train acc: 0.565000; val_acc: 0.376000\n",
            "(Iteration 161 / 200) loss: 1.308885\n",
            "(Iteration 171 / 200) loss: 1.263195\n",
            "(Iteration 181 / 200) loss: 1.191374\n",
            "(Iteration 191 / 200) loss: 1.133627\n",
            "(Epoch 5 / 5) train acc: 0.602000; val_acc: 0.377000\n",
            "\n",
            "Running with  rmsprop\n",
            "(Iteration 1 / 200) loss: 2.705266\n",
            "(Epoch 0 / 5) train acc: 0.103000; val_acc: 0.117000\n",
            "(Iteration 11 / 200) loss: 2.078976\n",
            "(Iteration 21 / 200) loss: 1.824881\n",
            "(Iteration 31 / 200) loss: 1.832568\n",
            "(Epoch 1 / 5) train acc: 0.345000; val_acc: 0.319000\n",
            "(Iteration 41 / 200) loss: 1.935333\n",
            "(Iteration 51 / 200) loss: 1.881177\n",
            "(Iteration 61 / 200) loss: 1.730408\n",
            "(Iteration 71 / 200) loss: 1.638144\n",
            "(Epoch 2 / 5) train acc: 0.432000; val_acc: 0.338000\n",
            "(Iteration 81 / 200) loss: 1.666779\n",
            "(Iteration 91 / 200) loss: 1.685090\n",
            "(Iteration 101 / 200) loss: 1.371068\n",
            "(Iteration 111 / 200) loss: 1.638347\n",
            "(Epoch 3 / 5) train acc: 0.476000; val_acc: 0.366000\n",
            "(Iteration 121 / 200) loss: 1.570503\n",
            "(Iteration 131 / 200) loss: 1.522892\n",
            "(Iteration 141 / 200) loss: 1.429773\n",
            "(Iteration 151 / 200) loss: 1.407379\n",
            "(Epoch 4 / 5) train acc: 0.500000; val_acc: 0.371000\n",
            "(Iteration 161 / 200) loss: 1.412761\n",
            "(Iteration 171 / 200) loss: 1.458583\n",
            "(Iteration 181 / 200) loss: 1.419634\n",
            "(Iteration 191 / 200) loss: 1.487441\n",
            "(Epoch 5 / 5) train acc: 0.554000; val_acc: 0.353000\n",
            "\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x1080 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "learning_rates = {'rmsprop': 1e-4, 'adam': 1e-3}\n",
        "for update_rule in ['adam', 'rmsprop']:\n",
        "    print('Running with ', update_rule)\n",
        "    model = FullyConnectedNet(\n",
        "        [100, 100, 100, 100, 100],\n",
        "        weight_scale=5e-2\n",
        "    )\n",
        "    solver = Solver(\n",
        "        model,\n",
        "        small_data,\n",
        "        num_epochs=5,\n",
        "        batch_size=100,\n",
        "        update_rule=update_rule,\n",
        "        optim_config={'learning_rate': learning_rates[update_rule]},\n",
        "        verbose=True\n",
        "    )\n",
        "    solvers[update_rule] = solver\n",
        "    solver.train()\n",
        "    print()\n",
        "    \n",
        "fig, axes = plt.subplots(3, 1, figsize=(15, 15))\n",
        "\n",
        "axes[0].set_title('Training loss')\n",
        "axes[0].set_xlabel('Iteration')\n",
        "axes[1].set_title('Training accuracy')\n",
        "axes[1].set_xlabel('Epoch')\n",
        "axes[2].set_title('Validation accuracy')\n",
        "axes[2].set_xlabel('Epoch')\n",
        "\n",
        "for update_rule, solver in solvers.items():\n",
        "    axes[0].plot(solver.loss_history, label=f\"{update_rule}\")\n",
        "    axes[1].plot(solver.train_acc_history, label=f\"{update_rule}\")\n",
        "    axes[2].plot(solver.val_acc_history, label=f\"{update_rule}\")\n",
        "    \n",
        "for ax in axes:\n",
        "    ax.legend(loc='best', ncol=4)\n",
        "    ax.grid(linestyle='--', linewidth=0.5)\n",
        "\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "tags": [
          "pdf-inline"
        ],
        "id": "rdQGOkY-n55Z"
      },
      "source": [
        "## Inline Question 2:\n",
        "\n",
        "AdaGrad, like Adam, is a per-parameter optimization method that uses the following update rule:\n",
        "\n",
        "```\n",
        "cache += dw**2\n",
        "w += - learning_rate * dw / (np.sqrt(cache) + eps)\n",
        "```\n",
        "\n",
        "John notices that when he was training a network with AdaGrad that the updates became very small, and that his network was learning slowly. Using your knowledge of the AdaGrad update rule, why do you think the updates would become very small? Would Adam have the same issue?\n",
        "\n",
        "\n",
        "## Answer: \n",
        "Denominator of update fraction is of the order of `t` times the gradient, instead of an average of gradients. The updates can become very small.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lOrnM4U3n55a"
      },
      "source": [
        "# Train a Good Model!\n",
        "Train the best fully connected model that you can on CIFAR-10, storing your best model in the `best_model` variable. We require you to get at least 50% accuracy on the validation set using a fully connected network.\n",
        "\n",
        "If you are careful it should be possible to get accuracies above 55%, but we don't require it for this part and won't assign extra credit for doing so. Later in the assignment we will ask you to train the best convolutional network that you can on CIFAR-10, and we would prefer that you spend your effort working on convolutional networks rather than fully connected networks.\n",
        "\n",
        "**Note:** You might find it useful to complete the `BatchNormalization.ipynb` and `Dropout.ipynb` notebooks before completing this part, since those techniques can help you train powerful models."
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "best_model = None\n",
        "best_val = -1"
      ],
      "metadata": {
        "id": "MUcjUUitpgNN"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "scrolled": false,
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "82LDP0_hn55a",
        "outputId": "5d492a19-5507-40c1-95e8-319856177ceb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(Iteration 1 / 1960) loss: 2.532379\n",
            "(Epoch 0 / 40) train acc: 0.167000; val_acc: 0.171000\n",
            "(Epoch 1 / 40) train acc: 0.326000; val_acc: 0.359000\n",
            "(Epoch 2 / 40) train acc: 0.463000; val_acc: 0.428000\n",
            "(Iteration 101 / 1960) loss: 1.630421\n",
            "(Epoch 3 / 40) train acc: 0.437000; val_acc: 0.481000\n",
            "(Epoch 4 / 40) train acc: 0.493000; val_acc: 0.479000\n",
            "(Iteration 201 / 1960) loss: 1.602034\n",
            "(Epoch 5 / 40) train acc: 0.541000; val_acc: 0.496000\n",
            "(Epoch 6 / 40) train acc: 0.522000; val_acc: 0.494000\n",
            "(Iteration 301 / 1960) loss: 1.518857\n",
            "(Epoch 7 / 40) train acc: 0.528000; val_acc: 0.493000\n",
            "(Epoch 8 / 40) train acc: 0.546000; val_acc: 0.511000\n",
            "(Iteration 401 / 1960) loss: 1.414260\n",
            "(Epoch 9 / 40) train acc: 0.560000; val_acc: 0.501000\n",
            "(Epoch 10 / 40) train acc: 0.551000; val_acc: 0.509000\n",
            "(Iteration 501 / 1960) loss: 1.387675\n",
            "(Epoch 11 / 40) train acc: 0.577000; val_acc: 0.536000\n",
            "(Epoch 12 / 40) train acc: 0.570000; val_acc: 0.526000\n",
            "(Iteration 601 / 1960) loss: 1.394914\n",
            "(Epoch 13 / 40) train acc: 0.585000; val_acc: 0.533000\n",
            "(Epoch 14 / 40) train acc: 0.578000; val_acc: 0.540000\n",
            "(Iteration 701 / 1960) loss: 1.429552\n",
            "(Epoch 15 / 40) train acc: 0.595000; val_acc: 0.513000\n",
            "(Epoch 16 / 40) train acc: 0.610000; val_acc: 0.545000\n",
            "(Iteration 801 / 1960) loss: 1.379846\n",
            "(Epoch 17 / 40) train acc: 0.604000; val_acc: 0.535000\n",
            "(Epoch 18 / 40) train acc: 0.599000; val_acc: 0.540000\n",
            "(Iteration 901 / 1960) loss: 1.337677\n",
            "(Epoch 19 / 40) train acc: 0.619000; val_acc: 0.531000\n",
            "(Epoch 20 / 40) train acc: 0.648000; val_acc: 0.533000\n",
            "(Iteration 1001 / 1960) loss: 1.215065\n",
            "(Epoch 21 / 40) train acc: 0.643000; val_acc: 0.553000\n",
            "(Epoch 22 / 40) train acc: 0.655000; val_acc: 0.550000\n",
            "(Iteration 1101 / 1960) loss: 1.253202\n",
            "(Epoch 23 / 40) train acc: 0.659000; val_acc: 0.554000\n",
            "(Epoch 24 / 40) train acc: 0.647000; val_acc: 0.552000\n",
            "(Iteration 1201 / 1960) loss: 1.287945\n",
            "(Epoch 25 / 40) train acc: 0.624000; val_acc: 0.532000\n",
            "(Epoch 26 / 40) train acc: 0.640000; val_acc: 0.511000\n",
            "(Iteration 1301 / 1960) loss: 1.242880\n",
            "(Epoch 27 / 40) train acc: 0.677000; val_acc: 0.536000\n",
            "(Epoch 28 / 40) train acc: 0.690000; val_acc: 0.541000\n",
            "(Iteration 1401 / 1960) loss: 1.291883\n",
            "(Epoch 29 / 40) train acc: 0.676000; val_acc: 0.536000\n",
            "(Epoch 30 / 40) train acc: 0.644000; val_acc: 0.516000\n",
            "(Iteration 1501 / 1960) loss: 1.264202\n",
            "(Epoch 31 / 40) train acc: 0.699000; val_acc: 0.539000\n",
            "(Epoch 32 / 40) train acc: 0.673000; val_acc: 0.531000\n",
            "(Iteration 1601 / 1960) loss: 1.255446\n",
            "(Epoch 33 / 40) train acc: 0.672000; val_acc: 0.530000\n",
            "(Epoch 34 / 40) train acc: 0.698000; val_acc: 0.556000\n",
            "(Iteration 1701 / 1960) loss: 1.222764\n",
            "(Epoch 35 / 40) train acc: 0.684000; val_acc: 0.544000\n",
            "(Epoch 36 / 40) train acc: 0.715000; val_acc: 0.557000\n",
            "(Iteration 1801 / 1960) loss: 1.163403\n",
            "(Epoch 37 / 40) train acc: 0.686000; val_acc: 0.543000\n",
            "(Epoch 38 / 40) train acc: 0.684000; val_acc: 0.550000\n",
            "(Iteration 1901 / 1960) loss: 1.205060\n",
            "(Epoch 39 / 40) train acc: 0.693000; val_acc: 0.561000\n",
            "(Epoch 40 / 40) train acc: 0.679000; val_acc: 0.539000\n",
            "lr 0.001 reg 0.01 train accuracy: 0.679 val accuracy: 0.539 best 0.546\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "################################################################################\n",
        "# TODO: Train the best FullyConnectedNet that you can on CIFAR-10. You might   #\n",
        "# find batch/layer normalization and dropout useful. Store your best model in  #\n",
        "# the best_model variable.                                                     #\n",
        "################################################################################\n",
        "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
        "\n",
        "num_train = 50\n",
        "small_data = {\n",
        "  \"X_train\": data[\"X_train\"][:num_train],\n",
        "  \"y_train\": data[\"y_train\"][:num_train],\n",
        "  \"X_val\": data[\"X_val\"],\n",
        "  \"y_val\": data[\"y_val\"],\n",
        "}\n",
        "\n",
        "lr = 1e-3 # Original: 1e-4  # Experiment with this!\n",
        "ws = 1e-2 # Original: 1e-2  # Experiment with this!\n",
        "batch_size=1000 # Best: 1000\n",
        "num_epochs = 40\n",
        "reg = 1e-2\n",
        "\n",
        "model = FullyConnectedNet(\n",
        "    [100, 200, 200, 100], # Best: [100, 200, 200, 100]\n",
        "    weight_scale=ws,\n",
        "    dtype=np.float64,\n",
        "    reg=reg\n",
        ")\n",
        "solver = Solver(\n",
        "    model,\n",
        "    data,\n",
        "    print_every=100,\n",
        "    num_epochs=num_epochs,\n",
        "    batch_size=batch_size,\n",
        "    update_rule=\"adam\",\n",
        "    optim_config={\"learning_rate\": lr},\n",
        ")\n",
        "solver.train()\n",
        "\n",
        "# Get the accuracy\n",
        "train_accuracy = solver.train_acc_history[-1]\n",
        "val_accuracy = solver.val_acc_history[-1]\n",
        "\n",
        "if best_val < 0 or val_accuracy > best_val:\n",
        "  best_val = val_accuracy\n",
        "  best_lr = lr\n",
        "  best_ws = ws\n",
        "  best_reg = reg\n",
        "  best_num_epochs = num_epochs\n",
        "  best_batch_size = batch_size\n",
        "  best_model = model\n",
        "\n",
        "print((f\"lr {lr} reg {reg} train accuracy: {train_accuracy} \"\n",
        "       f\"val accuracy: {val_accuracy} best {best_val}\"))\n",
        "\n",
        "\n",
        "plt.plot(solver.loss_history)\n",
        "plt.title(\"Training loss history\")\n",
        "plt.xlabel(\"Iteration\")\n",
        "plt.ylabel(\"Training loss\")\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "plt.show()\n",
        "\n",
        "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
        "################################################################################\n",
        "#                              END OF YOUR CODE                                #\n",
        "################################################################################"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.subplot(2, 1, 1)\n",
        "plt.title('Training loss')\n",
        "plt.plot(solver.loss_history)\n",
        "plt.xlabel('Iteration')\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "\n",
        "plt.subplot(2, 1, 2)\n",
        "plt.title('Accuracy')\n",
        "plt.plot(solver.train_acc_history, '-o', label='train')\n",
        "plt.plot(solver.val_acc_history, '-o', label='val')\n",
        "#plt.plot([0.5] * len(solver.val_acc_history), 'k--')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend(loc='lower right')\n",
        "plt.gcf().set_size_inches(15, 12)\n",
        "plt.grid(linestyle='--', linewidth=0.5)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 730
        },
        "id": "Dw9NLlkSVu2o",
        "outputId": "3f370996-e57f-4669-fc26-6fa29966479f"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x864 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tpY1Ppmln55b"
      },
      "source": [
        "# Test Your Model!\n",
        "Run your best model on the validation and test sets. You should achieve at least 50% accuracy on the validation set."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KeH5CBGPn55b",
        "outputId": "816eaf1d-9b30-4025-f85d-9937753cd81f"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Validation set accuracy:  0.564\n",
            "Test set accuracy:  0.55\n"
          ]
        }
      ],
      "source": [
        "y_test_pred = np.argmax(best_model.loss(data['X_test']), axis=1)\n",
        "y_val_pred = np.argmax(best_model.loss(data['X_val']), axis=1)\n",
        "print('Validation set accuracy: ', (y_val_pred == data['y_val']).mean())\n",
        "print('Test set accuracy: ', (y_test_pred == data['y_test']).mean())"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "FullyConnectedNets.ipynb",
      "provenance": [],
      "include_colab_link": true
    },
    "language_info": {
      "name": "python"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}