Hello_World.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Hello World.ipynb",
      "version": "0.3.2",
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "metadata": {
        "id": "zqgwwd6TBQ3g",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Import"
      ]
    },
    {
      "metadata": {
        "id": "LAMx7Fs3BRqW",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "import numpy as np\n",
        "from tensorflow import keras"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "b_WPfAjcBmwk",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Define and Compile the Neural Network"
      ]
    },
    {
      "metadata": {
        "id": "oGzP20yQBox-",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 139
        },
        "outputId": "e17904d0-b157-44fa-bfe8-1db1f585524f"
      },
      "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')"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/resource_variable_ops.py:435: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Colocations handled automatically by placer.\n",
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/utils/losses_utils.py:170: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.cast instead.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "id": "JGeVkgdyCMsc",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Providing the Data"
      ]
    },
    {
      "metadata": {
        "id": "XOJzshqnCNQ1",
        "colab_type": "code",
        "colab": {}
      },
      "cell_type": "code",
      "source": [
        "xs = np.array([-1.0,  0.0, 1.0, 2.0, 3.0, 4.0], dtype=float)\n",
        "ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "metadata": {
        "id": "bwMEVUkkCWQb",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Training the Neural Network"
      ]
    },
    {
      "metadata": {
        "id": "YdMx4Dm0CYEM",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17105
        },
        "outputId": "3dbe1a8d-5c9c-441c-a2d9-f0cc9f669748"
      },
      "cell_type": "code",
      "source": [
        "model.fit(xs, ys, epochs=500)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Use tf.cast instead.\n",
            "Epoch 1/500\n",
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            "Epoch 3/500\n",
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            "Epoch 4/500\n",
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            "Epoch 497/500\n",
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            "Epoch 498/500\n",
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            "Epoch 499/500\n",
            "6/6 [==============================] - 0s 334us/sample - loss: 5.2304e-05\n",
            "Epoch 500/500\n",
            "6/6 [==============================] - 0s 364us/sample - loss: 5.1229e-05\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<tensorflow.python.keras.callbacks.History at 0x7f02ab7ebba8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "metadata": {
        "id": "bQ4QCnXyCh3d",
        "colab_type": "text"
      },
      "cell_type": "markdown",
      "source": [
        "Predict output from Neural Network"
      ]
    },
    {
      "metadata": {
        "id": "lEmPmOxLCqJE",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "0ede974f-2b40-4672-c445-d2118fa80d09"
      },
      "cell_type": "code",
      "source": [
        "print(model.predict([10.0]))"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[18.979118]]\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}