1-single-perceptron.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "GnMeuGP-9DsL",
        "outputId": "c2cd3839-8ea6-4294-c0c3-ef56a65ac2ba"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'\\n\\nx1    x2    y\\n1     1     1\\n1     0     0\\n0     0     0\\n0     0     0\\n\\n'"
            ]
          },
          "execution_count": 2,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# table logika AND 2 input\n",
        "\"\"\"\n",
        "\n",
        "x1    x2    y\n",
        "1     1     1\n",
        "1     0     0\n",
        "0     1     0\n",
        "0     0     0\n",
        "\n",
        "\"\"\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "OfHlbbnkt7yW"
      },
      "outputs": [],
      "source": [
        "# machine learning\n",
        "\n",
        "import keras\n",
        "import numpy as np\n",
        "\n",
        "# model\n",
        "model = keras.Sequential([keras.layers.Dense(units=1, input_shape=[2])])\n",
        "\n",
        "# compile\n",
        "model.compile(optimizer='sgd', loss='mean_squared_error')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "tnf7UGP5uuts"
      },
      "outputs": [],
      "source": [
        "# set data\n",
        "xs = np.array([[1,1], [1,0], [0,1], [0,0]], dtype=int)\n",
        "ys= np.array([1,0,0,0], dtype=int)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WwwPJGCPvGwH",
        "outputId": "55263389-3f11-46e8-a29c-a0f15982b62e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " dense (Dense)               (None, 1)                 3         \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 3 (12.00 Byte)\n",
            "Trainable params: 3 (12.00 Byte)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "# tampilkan arsitektur awal\n",
        "model.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2l0uOgSevKR_",
        "outputId": "5425233e-06b0-4922-bf1d-a6ca25798ba6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[array([[-0.86726075],\n",
              "        [ 1.2430838 ]], dtype=float32),\n",
              " array([0.], dtype=float32)]"
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# cek bobot model awal\n",
        "weights = model.get_weights()\n",
        "weights\n",
        "\n",
        "# output: array 0 (bobot x, y), array 1 (bias)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z-sRHMfWvUxj",
        "outputId": "0adfd9bb-881a-4870-848d-011e337cb3d2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.2480\n",
            "Epoch 2/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.2463\n",
            "Epoch 3/100\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 0.2445\n",
            "Epoch 4/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.2427\n",
            "Epoch 5/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2410\n",
            "Epoch 6/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2393\n",
            "Epoch 7/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.2376\n",
            "Epoch 8/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2359\n",
            "Epoch 9/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.2343\n",
            "Epoch 10/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2326\n",
            "Epoch 11/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.2310\n",
            "Epoch 12/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2294\n",
            "Epoch 13/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.2278\n",
            "Epoch 14/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2262\n",
            "Epoch 15/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2246\n",
            "Epoch 16/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2230\n",
            "Epoch 17/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.2215\n",
            "Epoch 18/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2200\n",
            "Epoch 19/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.2185\n",
            "Epoch 20/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.2170\n",
            "Epoch 21/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2155\n",
            "Epoch 22/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2140\n",
            "Epoch 23/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.2126\n",
            "Epoch 24/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2111\n",
            "Epoch 25/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2097\n",
            "Epoch 26/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2083\n",
            "Epoch 27/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2069\n",
            "Epoch 28/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.2055\n",
            "Epoch 29/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.2042\n",
            "Epoch 30/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.2028\n",
            "Epoch 31/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.2015\n",
            "Epoch 32/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.2001\n",
            "Epoch 33/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1988\n",
            "Epoch 34/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.1975\n",
            "Epoch 35/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.1962\n",
            "Epoch 36/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1949\n",
            "Epoch 37/100\n",
            "1/1 [==============================] - 0s 14ms/step - loss: 0.1937\n",
            "Epoch 38/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1924\n",
            "Epoch 39/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1912\n",
            "Epoch 40/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1899\n",
            "Epoch 41/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1887\n",
            "Epoch 42/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1875\n",
            "Epoch 43/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1863\n",
            "Epoch 44/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1851\n",
            "Epoch 45/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.1840\n",
            "Epoch 46/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1828\n",
            "Epoch 47/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1817\n",
            "Epoch 48/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1805\n",
            "Epoch 49/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1794\n",
            "Epoch 50/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1783\n",
            "Epoch 51/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1772\n",
            "Epoch 52/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1761\n",
            "Epoch 53/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1750\n",
            "Epoch 54/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1739\n",
            "Epoch 55/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1729\n",
            "Epoch 56/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.1718\n",
            "Epoch 57/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1708\n",
            "Epoch 58/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1697\n",
            "Epoch 59/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1687\n",
            "Epoch 60/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1677\n",
            "Epoch 61/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.1667\n",
            "Epoch 62/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1657\n",
            "Epoch 63/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1647\n",
            "Epoch 64/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.1637\n",
            "Epoch 65/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.1628\n",
            "Epoch 66/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1618\n",
            "Epoch 67/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1609\n",
            "Epoch 68/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1599\n",
            "Epoch 69/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1590\n",
            "Epoch 70/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1581\n",
            "Epoch 71/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1572\n",
            "Epoch 72/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1563\n",
            "Epoch 73/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1554\n",
            "Epoch 74/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1545\n",
            "Epoch 75/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1536\n",
            "Epoch 76/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1528\n",
            "Epoch 77/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1519\n",
            "Epoch 78/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.1511\n",
            "Epoch 79/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1502\n",
            "Epoch 80/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1494\n",
            "Epoch 81/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.1486\n",
            "Epoch 82/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1478\n",
            "Epoch 83/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1469\n",
            "Epoch 84/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.1461\n",
            "Epoch 85/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1453\n",
            "Epoch 86/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1446\n",
            "Epoch 87/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.1438\n",
            "Epoch 88/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1430\n",
            "Epoch 89/100\n",
            "1/1 [==============================] - 0s 14ms/step - loss: 0.1422\n",
            "Epoch 90/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.1415\n",
            "Epoch 91/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1407\n",
            "Epoch 92/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1400\n",
            "Epoch 93/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.1393\n",
            "Epoch 94/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.1385\n",
            "Epoch 95/100\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 0.1378\n",
            "Epoch 96/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1371\n",
            "Epoch 97/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1364\n",
            "Epoch 98/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1357\n",
            "Epoch 99/100\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 0.1350\n",
            "Epoch 100/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.1343\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<keras.src.callbacks.History at 0x78d380291150>"
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# training\n",
        "model.fit(xs, ys, epochs=100)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Nvz3otMjvnMs",
        "outputId": "bac93824-f422-408e-a888-da33236cdb45"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1/1 [==============================] - 0s 38ms/step\n",
            "[[0.63973147]]\n"
          ]
        }
      ],
      "source": [
        "# test\n",
        "data = [1, 1]\n",
        "answer = model.predict([data])\n",
        "print(answer)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ig0JSH7Nv4vI",
        "outputId": "441c3548-12b1-4e5b-f033-dc8e1f92cfe8"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[array([[0.01436185],\n",
              "        [0.71489906]], dtype=float32),\n",
              " array([-0.08952948], dtype=float32)]"
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# cek bobot model akhir\n",
        "weights = model.get_weights()\n",
        "weights"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Za0q1OYm9H7E"
      },
      "source": [
        "# Usecase"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "8FCv58C4wi99",
        "outputId": "d1a0d987-28e1-49e0-d510-1d5dfa4d3ae5"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'\\nw1 = 2\\nw2 = 4\\n\\nx1    x2    y\\n2     3     16\\n4     1     12\\n5     4     28\\n7     5     34\\n8     2     24\\n\\n'"
            ]
          },
          "execution_count": 18,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# table data\n",
        "\"\"\"\n",
        "w1 = 2\n",
        "w2 = 4\n",
        "\n",
        "x1    x2    y\n",
        "2     3     16\n",
        "4     1     12\n",
        "5     4     28\n",
        "7     5     34\n",
        "8     2     24\n",
        "\n",
        "\"\"\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "MnWqQ1seWWNr"
      },
      "outputs": [],
      "source": [
        "# model\n",
        "model2 = keras.Sequential([keras.layers.Dense(units=1, input_shape=[2])])\n",
        "\n",
        "# model compile\n",
        "model2.compile(optimizer='sgd', loss='mean_squared_error')\n",
        "\n",
        "# set data\n",
        "xs = np.array([[2,3], [4,1], [5,4], [7,5], [8,2]], dtype=int)\n",
        "ys = np.array([16, 12, 28, 34, 24], dtype=int)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oZk0EfhrXT1n",
        "outputId": "d07bb227-8d65-484f-ec95-36abb498da0e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[array([[0.09191346],\n",
              "        [0.4360354 ]], dtype=float32),\n",
              " array([0.], dtype=float32)]"
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# cek bobot model awal\n",
        "\n",
        "weights = model2.get_weights()\n",
        "weights"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mo_OMktnXqi_",
        "outputId": "edeae6c5-51ef-48b1-92fd-d8ae22f4cba1"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.5512\n",
            "Epoch 2/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.5512\n",
            "Epoch 3/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 4/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.5512\n",
            "Epoch 5/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 6/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 7/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 8/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 9/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 10/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 11/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.5512\n",
            "Epoch 12/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 13/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 14/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 15/100\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 0.5512\n",
            "Epoch 16/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 17/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 18/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 19/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 20/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 21/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.5512\n",
            "Epoch 22/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 23/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 24/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 25/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 26/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 27/100\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 0.5512\n",
            "Epoch 28/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.5512\n",
            "Epoch 29/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 30/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 31/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 32/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 33/100\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 0.5512\n",
            "Epoch 34/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 35/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 36/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 37/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 38/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 39/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 40/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 41/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 42/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 43/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 44/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 45/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 46/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5512\n",
            "Epoch 47/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 48/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.5512\n",
            "Epoch 49/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 50/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 51/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 52/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 53/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5512\n",
            "Epoch 54/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.5512\n",
            "Epoch 55/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 56/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5512\n",
            "Epoch 57/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 58/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5511\n",
            "Epoch 59/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 60/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 61/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5511\n",
            "Epoch 62/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 63/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 64/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 65/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 66/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.5511\n",
            "Epoch 67/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 68/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 69/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 70/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 71/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 72/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 73/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 74/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 75/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 76/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 77/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 78/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 79/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 80/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 81/100\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 0.5511\n",
            "Epoch 82/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 83/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 84/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.5511\n",
            "Epoch 85/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 86/100\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 0.5511\n",
            "Epoch 87/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5511\n",
            "Epoch 88/100\n",
            "1/1 [==============================] - 0s 15ms/step - loss: 0.5511\n",
            "Epoch 89/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 90/100\n",
            "1/1 [==============================] - 0s 16ms/step - loss: 0.5511\n",
            "Epoch 91/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5511\n",
            "Epoch 92/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5511\n",
            "Epoch 93/100\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 0.5511\n",
            "Epoch 94/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 95/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 96/100\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 0.5511\n",
            "Epoch 97/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n",
            "Epoch 98/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5511\n",
            "Epoch 99/100\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 0.5511\n",
            "Epoch 100/100\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 0.5511\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<keras.src.callbacks.History at 0x78d36d511630>"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# training\n",
        "model2.fit(xs, ys, epochs=100)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HOEAI6WYY4N_",
        "outputId": "483b47a6-5168-482d-8712-fa5f71872c4e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1/1 [==============================] - 0s 36ms/step\n",
            "[[14.616692]]\n"
          ]
        }
      ],
      "source": [
        "# test\n",
        "data = [1,3]\n",
        "answer = model2.predict([data])\n",
        "print(answer)\n",
        "\n",
        "# seharusnya 1*2 + 3*4 = 14"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w-IiI4_aZg45",
        "outputId": "0e0b1152-7ae0-4f38-cb16-60e24087ec6f"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[array([[1.9495513],\n",
              "        [4.20762  ]], dtype=float32),\n",
              " array([0.04428048], dtype=float32)]"
            ]
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "# cek bobot model akhir\n",
        "weights = model2.get_weights()\n",
        "weights"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}