C1_W1_lab.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "C1_W1_lab.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOv9KZsTT+plTTmZHX7/kGy",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/EvangelosTikas/Python-Algorithms/blob/main/C1_W1_lab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hK2NMVPUMrMP",
        "outputId": "116848f4-931f-48d7-bfd7-0553d9a79f64"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2.8.2\n"
          ]
        }
      ],
      "source": [
        "import tensorflow as tf\n",
        "import time\n",
        "import numpy as np\n",
        "from tensorflow import keras\n",
        "\n",
        "print(tf.__version__)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Build a  standard Keras model for lab1\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "xDj4X0-Raos7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model = tf.keras.Sequential([keras.layers.Dense(units = 1, input_shape = [1])])\n",
        "model.compile(optimizer = 'sgd', loss = 'mean_squared_error')"
      ],
      "metadata": {
        "id": "u3aRQsANbQUI"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Provide data now to feed it\n"
      ],
      "metadata": {
        "id": "beH7_qI0bc_-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xs = np.array([-1.0, 0.0, 1.0 ,2.0 ,3.0 ,4.0,5.0,6.0], dtype = float)\n",
        "ys = np.array([-3.0, -1.0, 1.0, 3.0 , 5.0, 7.0,9.0, 11.0], dtype = float)\n",
        "\n",
        "print(xs, \"and ys = \", ys)"
      ],
      "metadata": {
        "id": "gMwCg-h5be4o",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d7f730a7-3df4-48ae-c05b-7745ff74860e"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[-1.  0.  1.  2.  3.  4.  5.  6.] and ys =  [-3. -1.  1.  3.  5.  7.  9. 11.]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Training of the data with the network"
      ],
      "metadata": {
        "id": "MYXdXQDsb3t5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "start_time = time.time()\n",
        "model.fit(xs, ys, epochs = 500)\n",
        "print(\"------%s seconds ------\" % (time.time() - start_time))\n",
        "# and local time\n",
        "print(\"Local time: \",time.ctime())\n",
        "print(model.predict([10.0]))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lOii5gIib6qi",
        "outputId": "589eecb7-aaa3-42e7-e556-dc3bc488d08d"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 1.9979e-04\n",
            "Epoch 2/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.9633e-04\n",
            "Epoch 3/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.9293e-04\n",
            "Epoch 4/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.8958e-04\n",
            "Epoch 5/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.8630e-04\n",
            "Epoch 6/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.8307e-04\n",
            "Epoch 7/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7989e-04\n",
            "Epoch 8/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.7678e-04\n",
            "Epoch 9/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7371e-04\n",
            "Epoch 10/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 1.7070e-04\n",
            "Epoch 11/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.6775e-04\n",
            "Epoch 12/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.6484e-04\n",
            "Epoch 13/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.6198e-04\n",
            "Epoch 14/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5917e-04\n",
            "Epoch 15/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5642e-04\n",
            "Epoch 16/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5370e-04\n",
            "Epoch 17/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5104e-04\n",
            "Epoch 18/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.4842e-04\n",
            "Epoch 19/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.4585e-04\n",
            "Epoch 20/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.4332e-04\n",
            "Epoch 21/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.4084e-04\n",
            "Epoch 22/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.3840e-04\n",
            "Epoch 23/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.3600e-04\n",
            "Epoch 24/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.3364e-04\n",
            "Epoch 25/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.3133e-04\n",
            "Epoch 26/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.2905e-04\n",
            "Epoch 27/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.2682e-04\n",
            "Epoch 28/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.2462e-04\n",
            "Epoch 29/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.2246e-04\n",
            "Epoch 30/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.2033e-04\n",
            "Epoch 31/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.1825e-04\n",
            "Epoch 32/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.1620e-04\n",
            "Epoch 33/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.1419e-04\n",
            "Epoch 34/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.1221e-04\n",
            "Epoch 35/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.1026e-04\n",
            "Epoch 36/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.0835e-04\n",
            "Epoch 37/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.0648e-04\n",
            "Epoch 38/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.0463e-04\n",
            "Epoch 39/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0282e-04\n",
            "Epoch 40/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.0104e-04\n",
            "Epoch 41/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 9.9285e-05\n",
            "Epoch 42/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 9.7564e-05\n",
            "Epoch 43/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 9.5874e-05\n",
            "Epoch 44/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 9.4212e-05\n",
            "Epoch 45/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 9.2578e-05\n",
            "Epoch 46/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 9.0974e-05\n",
            "Epoch 47/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 8.9398e-05\n",
            "Epoch 48/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 8.7850e-05\n",
            "Epoch 49/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 8.6327e-05\n",
            "Epoch 50/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 8.4831e-05\n",
            "Epoch 51/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 8.3361e-05\n",
            "Epoch 52/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 8.1916e-05\n",
            "Epoch 53/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 8.0496e-05\n",
            "Epoch 54/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 7.9101e-05\n",
            "Epoch 55/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 7.7731e-05\n",
            "Epoch 56/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 7.6383e-05\n",
            "Epoch 57/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 7.5060e-05\n",
            "Epoch 58/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 7.3759e-05\n",
            "Epoch 59/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 7.2481e-05\n",
            "Epoch 60/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 7.1224e-05\n",
            "Epoch 61/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 6.9991e-05\n",
            "Epoch 62/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 6.8776e-05\n",
            "Epoch 63/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 6.7584e-05\n",
            "Epoch 64/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 6.6414e-05\n",
            "Epoch 65/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 6.5263e-05\n",
            "Epoch 66/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 6.4132e-05\n",
            "Epoch 67/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 6.3020e-05\n",
            "Epoch 68/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 6.1928e-05\n",
            "Epoch 69/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 6.0856e-05\n",
            "Epoch 70/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 5.9802e-05\n",
            "Epoch 71/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 5.8765e-05\n",
            "Epoch 72/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 5.7747e-05\n",
            "Epoch 73/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 5.6745e-05\n",
            "Epoch 74/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 5.5761e-05\n",
            "Epoch 75/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 5.4796e-05\n",
            "Epoch 76/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 5.3845e-05\n",
            "Epoch 77/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 5.2914e-05\n",
            "Epoch 78/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 5.1997e-05\n",
            "Epoch 79/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 5.1096e-05\n",
            "Epoch 80/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 5.0209e-05\n",
            "Epoch 81/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.9340e-05\n",
            "Epoch 82/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.8484e-05\n",
            "Epoch 83/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.7646e-05\n",
            "Epoch 84/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.6818e-05\n",
            "Epoch 85/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.6008e-05\n",
            "Epoch 86/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.5211e-05\n",
            "Epoch 87/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.4426e-05\n",
            "Epoch 88/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.3657e-05\n",
            "Epoch 89/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.2901e-05\n",
            "Epoch 90/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 4.2157e-05\n",
            "Epoch 91/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 4.1427e-05\n",
            "Epoch 92/500\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 4.0708e-05\n",
            "Epoch 93/500\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 4.0002e-05\n",
            "Epoch 94/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.9309e-05\n",
            "Epoch 95/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.8628e-05\n",
            "Epoch 96/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.7957e-05\n",
            "Epoch 97/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.7301e-05\n",
            "Epoch 98/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.6653e-05\n",
            "Epoch 99/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.6019e-05\n",
            "Epoch 100/500\n",
            "1/1 [==============================] - 0s 15ms/step - loss: 3.5395e-05\n",
            "Epoch 101/500\n",
            "1/1 [==============================] - 0s 15ms/step - loss: 3.4780e-05\n",
            "Epoch 102/500\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 3.4179e-05\n",
            "Epoch 103/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.3586e-05\n",
            "Epoch 104/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.3005e-05\n",
            "Epoch 105/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.2432e-05\n",
            "Epoch 106/500\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 3.1870e-05\n",
            "Epoch 107/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.1317e-05\n",
            "Epoch 108/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.0775e-05\n",
            "Epoch 109/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.0241e-05\n",
            "Epoch 110/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.9718e-05\n",
            "Epoch 111/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.9203e-05\n",
            "Epoch 112/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.8696e-05\n",
            "Epoch 113/500\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.8199e-05\n",
            "Epoch 114/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.7710e-05\n",
            "Epoch 115/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.7230e-05\n",
            "Epoch 116/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.6759e-05\n",
            "Epoch 117/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.6294e-05\n",
            "Epoch 118/500\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.5839e-05\n",
            "Epoch 119/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.5391e-05\n",
            "Epoch 120/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.4952e-05\n",
            "Epoch 121/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.4518e-05\n",
            "Epoch 122/500\n",
            "1/1 [==============================] - 0s 18ms/step - loss: 2.4094e-05\n",
            "Epoch 123/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.3677e-05\n",
            "Epoch 124/500\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.3266e-05\n",
            "Epoch 125/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2863e-05\n",
            "Epoch 126/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2467e-05\n",
            "Epoch 127/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2078e-05\n",
            "Epoch 128/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.1695e-05\n",
            "Epoch 129/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.1319e-05\n",
            "Epoch 130/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.0949e-05\n",
            "Epoch 131/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.0587e-05\n",
            "Epoch 132/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.0230e-05\n",
            "Epoch 133/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.9879e-05\n",
            "Epoch 134/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.9535e-05\n",
            "Epoch 135/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.9196e-05\n",
            "Epoch 136/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.8863e-05\n",
            "Epoch 137/500\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 1.8537e-05\n",
            "Epoch 138/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.8216e-05\n",
            "Epoch 139/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7899e-05\n",
            "Epoch 140/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7589e-05\n",
            "Epoch 141/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7284e-05\n",
            "Epoch 142/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.6984e-05\n",
            "Epoch 143/500\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.6690e-05\n",
            "Epoch 144/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6401e-05\n",
            "Epoch 145/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6117e-05\n",
            "Epoch 146/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5838e-05\n",
            "Epoch 147/500\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.5562e-05\n",
            "Epoch 148/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5294e-05\n",
            "Epoch 149/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5027e-05\n",
            "Epoch 150/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.4768e-05\n",
            "Epoch 151/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.4512e-05\n",
            "Epoch 152/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.4260e-05\n",
            "Epoch 153/500\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 1.4013e-05\n",
            "Epoch 154/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.3770e-05\n",
            "Epoch 155/500\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.3531e-05\n",
            "Epoch 156/500\n",
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            "Epoch 157/500\n",
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            "------5.158871412277222 seconds ------\n",
            "Local time:  Wed Jun 22 19:30:03 2022\n",
            "[[18.999666]]\n"
          ]
        }
      ]
    }
  ]
}