housing_price.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "housing_price.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOxdzN/GNdYgEKOMgcbt9Wg",
      "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/suncirkles/ThreatPrep/blob/master/housing_price.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PaQBVjaOA-Sh",
        "outputId": "046a4c5a-1b6e-4943-8bce-9b5b44b2a482"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2.8.0\n"
          ]
        }
      ],
      "source": [
        "import tensorflow as tf \n",
        "import numpy as np \n",
        "from tensorflow import keras \n",
        "import math\n",
        "\n",
        "print( tf.__version__)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Define the NN model and the layers"
      ],
      "metadata": {
        "id": "r8OkxF9KBLEd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model = tf.keras.Sequential([keras.layers.Dense(units=1,input_shape=[1])])\n"
      ],
      "metadata": {
        "id": "1eM3nqc0BPds"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Initialize the data for training "
      ],
      "metadata": {
        "id": "A9UOkGg7BxfE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xs = np.array([1,2,3,4,5,6],dtype=float)\n",
        "ys = np.array([1,1.5,2,2.5,3,3.5],dtype=float)\n",
        "\n",
        "model.compile(optimizer='sgd',loss='mean_squared_error')\n",
        "\n",
        "model.fit(xs,ys,epochs=1000) \n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bnpY1z6aB5Kx",
        "outputId": "5f4f0a42-922d-452d-b3d0-637e95829f8a"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/1000\n",
            "1/1 [==============================] - 0s 258ms/step - loss: 4.2742e-08\n",
            "Epoch 2/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.2410e-08\n",
            "Epoch 3/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 4.2102e-08\n",
            "Epoch 4/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 4.1789e-08\n",
            "Epoch 5/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 4.1478e-08\n",
            "Epoch 6/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 4.1203e-08\n",
            "Epoch 7/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.0903e-08\n",
            "Epoch 8/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 4.0593e-08\n",
            "Epoch 9/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.0306e-08\n",
            "Epoch 10/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 4.0012e-08\n",
            "Epoch 11/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.9724e-08\n",
            "Epoch 12/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.9437e-08\n",
            "Epoch 13/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.9126e-08\n",
            "Epoch 14/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.8847e-08\n",
            "Epoch 15/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.8559e-08\n",
            "Epoch 16/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.8289e-08\n",
            "Epoch 17/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.8009e-08\n",
            "Epoch 18/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.7738e-08\n",
            "Epoch 19/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.7457e-08\n",
            "Epoch 20/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.7184e-08\n",
            "Epoch 21/1000\n",
            "1/1 [==============================] - 0s 17ms/step - loss: 3.6923e-08\n",
            "Epoch 22/1000\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 3.6652e-08\n",
            "Epoch 23/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.6384e-08\n",
            "Epoch 24/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.6110e-08\n",
            "Epoch 25/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.5858e-08\n",
            "Epoch 26/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.5602e-08\n",
            "Epoch 27/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.5331e-08\n",
            "Epoch 28/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.5073e-08\n",
            "Epoch 29/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.4822e-08\n",
            "Epoch 30/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.4572e-08\n",
            "Epoch 31/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.4316e-08\n",
            "Epoch 32/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.4063e-08\n",
            "Epoch 33/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.3835e-08\n",
            "Epoch 34/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.3580e-08\n",
            "Epoch 35/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.3320e-08\n",
            "Epoch 36/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.3090e-08\n",
            "Epoch 37/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.2852e-08\n",
            "Epoch 38/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.2601e-08\n",
            "Epoch 39/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.2388e-08\n",
            "Epoch 40/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.2133e-08\n",
            "Epoch 41/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.1910e-08\n",
            "Epoch 42/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 3.1662e-08\n",
            "Epoch 43/1000\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 3.1452e-08\n",
            "Epoch 44/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.1212e-08\n",
            "Epoch 45/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 3.0982e-08\n",
            "Epoch 46/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 3.0763e-08\n",
            "Epoch 47/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.0538e-08\n",
            "Epoch 48/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 3.0305e-08\n",
            "Epoch 49/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.0083e-08\n",
            "Epoch 50/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.9862e-08\n",
            "Epoch 51/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.9642e-08\n",
            "Epoch 52/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.9439e-08\n",
            "Epoch 53/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.9218e-08\n",
            "Epoch 54/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.8999e-08\n",
            "Epoch 55/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.8787e-08\n",
            "Epoch 56/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.8584e-08\n",
            "Epoch 57/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.8385e-08\n",
            "Epoch 58/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.8178e-08\n",
            "Epoch 59/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.7969e-08\n",
            "Epoch 60/1000\n",
            "1/1 [==============================] - 0s 16ms/step - loss: 2.7775e-08\n",
            "Epoch 61/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.7554e-08\n",
            "Epoch 62/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.7368e-08\n",
            "Epoch 63/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.7172e-08\n",
            "Epoch 64/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 2.6973e-08\n",
            "Epoch 65/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 2.6772e-08\n",
            "Epoch 66/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.6575e-08\n",
            "Epoch 67/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.6383e-08\n",
            "Epoch 68/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.6202e-08\n",
            "Epoch 69/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.6006e-08\n",
            "Epoch 70/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.5814e-08\n",
            "Epoch 71/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.5617e-08\n",
            "Epoch 72/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.5441e-08\n",
            "Epoch 73/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 2.5253e-08\n",
            "Epoch 74/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.5071e-08\n",
            "Epoch 75/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.4885e-08\n",
            "Epoch 76/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.4713e-08\n",
            "Epoch 77/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.4523e-08\n",
            "Epoch 78/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 2.4349e-08\n",
            "Epoch 79/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 2.4167e-08\n",
            "Epoch 80/1000\n",
            "1/1 [==============================] - 0s 16ms/step - loss: 2.4009e-08\n",
            "Epoch 81/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.3832e-08\n",
            "Epoch 82/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.3656e-08\n",
            "Epoch 83/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.3476e-08\n",
            "Epoch 84/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.3307e-08\n",
            "Epoch 85/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 2.3149e-08\n",
            "Epoch 86/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.2978e-08\n",
            "Epoch 87/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2812e-08\n",
            "Epoch 88/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2641e-08\n",
            "Epoch 89/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2476e-08\n",
            "Epoch 90/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2317e-08\n",
            "Epoch 91/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.2148e-08\n",
            "Epoch 92/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.1991e-08\n",
            "Epoch 93/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.1833e-08\n",
            "Epoch 94/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 2.1665e-08\n",
            "Epoch 95/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 2.1513e-08\n",
            "Epoch 96/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 2.1365e-08\n",
            "Epoch 97/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.1199e-08\n",
            "Epoch 98/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.1044e-08\n",
            "Epoch 99/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 2.0889e-08\n",
            "Epoch 100/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.0742e-08\n",
            "Epoch 101/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.0591e-08\n",
            "Epoch 102/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.0442e-08\n",
            "Epoch 103/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.0290e-08\n",
            "Epoch 104/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 2.0142e-08\n",
            "Epoch 105/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.9992e-08\n",
            "Epoch 106/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.9843e-08\n",
            "Epoch 107/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.9702e-08\n",
            "Epoch 108/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.9566e-08\n",
            "Epoch 109/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.9426e-08\n",
            "Epoch 110/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.9269e-08\n",
            "Epoch 111/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.9125e-08\n",
            "Epoch 112/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.8987e-08\n",
            "Epoch 113/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.8851e-08\n",
            "Epoch 114/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.8716e-08\n",
            "Epoch 115/1000\n",
            "1/1 [==============================] - 0s 5ms/step - loss: 1.8590e-08\n",
            "Epoch 116/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.8443e-08\n",
            "Epoch 117/1000\n",
            "1/1 [==============================] - 0s 15ms/step - loss: 1.8313e-08\n",
            "Epoch 118/1000\n",
            "1/1 [==============================] - 0s 14ms/step - loss: 1.8182e-08\n",
            "Epoch 119/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.8053e-08\n",
            "Epoch 120/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7917e-08\n",
            "Epoch 121/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7783e-08\n",
            "Epoch 122/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7662e-08\n",
            "Epoch 123/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7525e-08\n",
            "Epoch 124/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7403e-08\n",
            "Epoch 125/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7267e-08\n",
            "Epoch 126/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7146e-08\n",
            "Epoch 127/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.7029e-08\n",
            "Epoch 128/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6899e-08\n",
            "Epoch 129/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6778e-08\n",
            "Epoch 130/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6658e-08\n",
            "Epoch 131/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6530e-08\n",
            "Epoch 132/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6417e-08\n",
            "Epoch 133/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6304e-08\n",
            "Epoch 134/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6177e-08\n",
            "Epoch 135/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.6057e-08\n",
            "Epoch 136/1000\n",
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            "Epoch 137/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5830e-08\n",
            "Epoch 138/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5718e-08\n",
            "Epoch 139/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5595e-08\n",
            "Epoch 140/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5486e-08\n",
            "Epoch 141/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5379e-08\n",
            "Epoch 142/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5257e-08\n",
            "Epoch 143/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 1.5149e-08\n",
            "Epoch 144/1000\n",
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            "Epoch 150/1000\n",
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            "Epoch 151/1000\n",
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            "Epoch 152/1000\n",
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            "Epoch 153/1000\n",
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            "Epoch 157/1000\n",
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            "Epoch 158/1000\n",
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            "Epoch 159/1000\n",
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            "Epoch 160/1000\n",
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            "Epoch 163/1000\n",
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            "Epoch 164/1000\n",
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            "Epoch 165/1000\n",
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            "Epoch 166/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 1.2796e-08\n",
            "Epoch 167/1000\n",
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            "Epoch 936/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 4.8552e-11\n",
            "Epoch 937/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 4.8300e-11\n",
            "Epoch 938/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 4.7791e-11\n",
            "Epoch 939/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 4.7370e-11\n",
            "Epoch 940/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 4.7325e-11\n",
            "Epoch 941/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 4.6934e-11\n",
            "Epoch 942/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 4.6349e-11\n",
            "Epoch 943/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 4.5790e-11\n",
            "Epoch 944/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 4.6117e-11\n",
            "Epoch 945/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 4.5054e-11\n",
            "Epoch 946/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 4.4821e-11\n",
            "Epoch 947/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 4.4590e-11\n",
            "Epoch 948/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 4.4080e-11\n",
            "Epoch 949/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 4.3798e-11\n",
            "Epoch 950/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 4.3327e-11\n",
            "Epoch 951/1000\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 4.2784e-11\n",
            "Epoch 952/1000\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 4.3081e-11\n",
            "Epoch 953/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 4.2616e-11\n",
            "Epoch 954/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 4.2081e-11\n",
            "Epoch 955/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 4.1558e-11\n",
            "Epoch 956/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 4.1508e-11\n",
            "Epoch 957/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 4.1113e-11\n",
            "Epoch 958/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 4.0724e-11\n",
            "Epoch 959/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 4.0340e-11\n",
            "Epoch 960/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 4.0371e-11\n",
            "Epoch 961/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 4.0122e-11\n",
            "Epoch 962/1000\n",
            "1/1 [==============================] - 0s 12ms/step - loss: 3.9374e-11\n",
            "Epoch 963/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.9156e-11\n",
            "Epoch 964/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.8471e-11\n",
            "Epoch 965/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.8394e-11\n",
            "Epoch 966/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.8180e-11\n",
            "Epoch 967/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 3.7967e-11\n",
            "Epoch 968/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 3.7960e-11\n",
            "Epoch 969/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.7455e-11\n",
            "Epoch 970/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.7000e-11\n",
            "Epoch 971/1000\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 3.6581e-11\n",
            "Epoch 972/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 3.6136e-11\n",
            "Epoch 973/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 3.6356e-11\n",
            "Epoch 974/1000\n",
            "1/1 [==============================] - 0s 6ms/step - loss: 3.6087e-11\n",
            "Epoch 975/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 3.5721e-11\n",
            "Epoch 976/1000\n",
            "1/1 [==============================] - 0s 10ms/step - loss: 3.5362e-11\n",
            "Epoch 977/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.5046e-11\n",
            "Epoch 978/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 3.5113e-11\n",
            "Epoch 979/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 3.4677e-11\n",
            "Epoch 980/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.4272e-11\n",
            "Epoch 981/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.3846e-11\n",
            "Epoch 982/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 3.3597e-11\n",
            "Epoch 983/1000\n",
            "1/1 [==============================] - 0s 13ms/step - loss: 3.3981e-11\n",
            "Epoch 984/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 3.3149e-11\n",
            "Epoch 985/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 3.3149e-11\n",
            "Epoch 986/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.2332e-11\n",
            "Epoch 987/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 3.2730e-11\n",
            "Epoch 988/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.2481e-11\n",
            "Epoch 989/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 3.2055e-11\n",
            "Epoch 990/1000\n",
            "1/1 [==============================] - 0s 14ms/step - loss: 3.1664e-11\n",
            "Epoch 991/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.1247e-11\n",
            "Epoch 992/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.1006e-11\n",
            "Epoch 993/1000\n",
            "1/1 [==============================] - 0s 11ms/step - loss: 3.1439e-11\n",
            "Epoch 994/1000\n",
            "1/1 [==============================] - 0s 8ms/step - loss: 3.1023e-11\n",
            "Epoch 995/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.0681e-11\n",
            "Epoch 996/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.0681e-11\n",
            "Epoch 997/1000\n",
            "1/1 [==============================] - 0s 9ms/step - loss: 3.0346e-11\n",
            "Epoch 998/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 2.9893e-11\n",
            "Epoch 999/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.0025e-11\n",
            "Epoch 1000/1000\n",
            "1/1 [==============================] - 0s 7ms/step - loss: 3.0451e-11\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7f3129722310>"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        " \n",
        "\n",
        "\n",
        "num_bedrooms = 7 \n",
        "\n",
        "predicted_price = model.predict([num_bedrooms])[0][0] \n",
        "\n",
        "print( \"Predicted price of \" + str(num_bedrooms) + \" bedroom home is \" + str(predicted_price) + \" hundred thousand dollars\")\n",
        "\n",
        "num_bedrooms = 10 \n",
        "\n",
        "predicted_price = model.predict([num_bedrooms])[0][0] \n",
        "\n",
        "print( \"Predicted price of \" + str(num_bedrooms) + \" bedroom home is \" + str(predicted_price) + \" hundred thousand dollars\")\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eBvZLPl9IBcC",
        "outputId": "d54c8a93-f8aa-4b46-ef58-7cb9c765ec39"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted price of 7 bedroom home is 4.000008 hundred thousand dollars\n",
            "Predicted price of 10 bedroom home is 5.5000167 hundred thousand dollars\n"
          ]
        }
      ]
    }
  ]
}