XOR_Example_dev.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0bdd14fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5883912c",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = np.array([ [0, 1], [1, 0], [1, 1],[0, 0] ])\n",
    "y = np.array([ [1], [1], [0], [0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2252c6be",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "\n",
    "model.add(Dense(4,input_shape = (2,), activation=\"relu\"))\n",
    "\n",
    "model.add(Dense(1,activation=\"softmax\"))\n",
    "model.compile(optimizer=\"sgd\",loss=\"mse\")\n",
    "#model.build()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "7c6fa0f2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_7\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " dense_12 (Dense)            (None, 4)                 12        \n",
      "                                                                 \n",
      " dense_13 (Dense)            (None, 1)                 5         \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 17\n",
      "Trainable params: 17\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "96c141fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/300\n",
      "1/1 [==============================] - 0s 279ms/step - loss: 0.5000\n",
      "Epoch 2/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 3/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 4/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 5/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 6/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 7/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 8/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 9/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 10/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 11/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 12/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 13/300\n",
      "1/1 [==============================] - 0s 15ms/step - loss: 0.5000\n",
      "Epoch 14/300\n",
      "1/1 [==============================] - 0s 22ms/step - loss: 0.5000\n",
      "Epoch 15/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 16/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 17/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 18/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 19/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 20/300\n",
      "1/1 [==============================] - 0s 14ms/step - loss: 0.5000\n",
      "Epoch 21/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 22/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 23/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 24/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 25/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 26/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 27/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 28/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 29/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 30/300\n",
      "1/1 [==============================] - 0s 16ms/step - loss: 0.5000\n",
      "Epoch 31/300\n",
      "1/1 [==============================] - 0s 17ms/step - loss: 0.5000\n",
      "Epoch 32/300\n",
      "1/1 [==============================] - 0s 17ms/step - loss: 0.5000\n",
      "Epoch 33/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 34/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 35/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 36/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 37/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 38/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 39/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 40/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 41/300\n",
      "1/1 [==============================] - 0s 14ms/step - loss: 0.5000\n",
      "Epoch 42/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
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      "1/1 [==============================] - 0s 16ms/step - loss: 0.5000\n",
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      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 50/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
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      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
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      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
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      "1/1 [==============================] - 0s 14ms/step - loss: 0.5000\n",
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      "Epoch 59/300\n",
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      "Epoch 61/300\n",
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      "Epoch 68/300\n",
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      "Epoch 70/300\n",
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      "Epoch 90/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 91/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 92/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
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      "Epoch 95/300\n",
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      "Epoch 97/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 98/300\n",
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      "Epoch 99/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 100/300\n",
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      "Epoch 101/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 102/300\n",
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      "Epoch 103/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 104/300\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 105/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 106/300\n",
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      "Epoch 107/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 108/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 109/300\n",
      "1/1 [==============================] - 0s 18ms/step - loss: 0.5000\n",
      "Epoch 110/300\n",
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      "Epoch 111/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 112/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 113/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 114/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 115/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 116/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 117/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 118/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 119/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 120/300\n",
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      "Epoch 121/300\n",
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      "Epoch 122/300\n",
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      "Epoch 123/300\n",
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      "Epoch 124/300\n",
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      "Epoch 125/300\n",
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      "Epoch 126/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 127/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 128/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 129/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 130/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 131/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 132/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 133/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
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      "Epoch 135/300\n",
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      "Epoch 136/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 137/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 138/300\n",
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      "Epoch 139/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 140/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
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      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 144/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
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      "Epoch 152/300\n",
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      "Epoch 153/300\n",
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      "Epoch 158/300\n",
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      "Epoch 160/300\n",
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      "Epoch 193/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 194/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 195/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 196/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 197/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 198/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 199/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 200/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 201/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 202/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 203/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 204/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 205/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 206/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 207/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 208/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 209/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 210/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 211/300\n",
      "1/1 [==============================] - 0s 14ms/step - loss: 0.5000\n",
      "Epoch 212/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 213/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 214/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 215/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 216/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 217/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 218/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 219/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 220/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 221/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 222/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 223/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 224/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 225/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 226/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 227/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 228/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 229/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 230/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 231/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 232/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 233/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 234/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 235/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 236/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 237/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 238/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 239/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 240/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 241/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 242/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 243/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 244/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 245/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 246/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 247/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 248/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 249/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 250/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 251/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 252/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 253/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 254/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 255/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 256/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 257/300\n",
      "1/1 [==============================] - 0s 14ms/step - loss: 0.5000\n",
      "Epoch 258/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 259/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 260/300\n",
      "1/1 [==============================] - 0s 12ms/step - loss: 0.5000\n",
      "Epoch 261/300\n",
      "1/1 [==============================] - 0s 14ms/step - loss: 0.5000\n",
      "Epoch 262/300\n",
      "1/1 [==============================] - 0s 14ms/step - loss: 0.5000\n",
      "Epoch 263/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 264/300\n",
      "1/1 [==============================] - 0s 13ms/step - loss: 0.5000\n",
      "Epoch 265/300\n",
      "1/1 [==============================] - 0s 16ms/step - loss: 0.5000\n",
      "Epoch 266/300\n",
      "1/1 [==============================] - 0s 19ms/step - loss: 0.5000\n",
      "Epoch 267/300\n",
      "1/1 [==============================] - 0s 18ms/step - loss: 0.5000\n",
      "Epoch 268/300\n",
      "1/1 [==============================] - 0s 15ms/step - loss: 0.5000\n",
      "Epoch 269/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 270/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 271/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 272/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 273/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 274/300\n",
      "1/1 [==============================] - 0s 4ms/step - loss: 0.5000\n",
      "Epoch 275/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 276/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 277/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 278/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 279/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 280/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 281/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 282/300\n",
      "1/1 [==============================] - 0s 9ms/step - loss: 0.5000\n",
      "Epoch 283/300\n",
      "1/1 [==============================] - 0s 5ms/step - loss: 0.5000\n",
      "Epoch 284/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 285/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 286/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 287/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 288/300\n",
      "1/1 [==============================] - 0s 10ms/step - loss: 0.5000\n",
      "Epoch 289/300\n",
      "1/1 [==============================] - 0s 11ms/step - loss: 0.5000\n",
      "Epoch 290/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 291/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 292/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 293/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 294/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 295/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 296/300\n",
      "1/1 [==============================] - 0s 7ms/step - loss: 0.5000\n",
      "Epoch 297/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 298/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n",
      "Epoch 299/300\n",
      "1/1 [==============================] - 0s 8ms/step - loss: 0.5000\n",
      "Epoch 300/300\n",
      "1/1 [==============================] - 0s 6ms/step - loss: 0.5000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x17d73b6e970>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x=X, y= y, batch_size=4,epochs=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "ce24aee5",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save(\"XOR model1.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f0ed2ba9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<tf.Variable 'dense_12/kernel:0' shape=(2, 4) dtype=float32, numpy=\n",
      "array([[-0.29029012,  0.6568773 ,  0.3509326 ,  0.2034781 ],\n",
      "       [-0.24184251, -0.02405548,  0.5541651 ,  0.34402585]],\n",
      "      dtype=float32)>, <tf.Variable 'dense_12/bias:0' shape=(4,) dtype=float32, numpy=array([0., 0., 0., 0.], dtype=float32)>, <tf.Variable 'dense_13/kernel:0' shape=(4, 1) dtype=float32, numpy=\n",
      "array([[-0.8384497],\n",
      "       [ 0.8123046],\n",
      "       [ 1.0726521],\n",
      "       [ 0.7266723]], dtype=float32)>, <tf.Variable 'dense_13/bias:0' shape=(1,) dtype=float32, numpy=array([0.], dtype=float32)>]\n"
     ]
    }
   ],
   "source": [
    "print(model.weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "63ed8cf6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<tf.Variable 'dense_12/kernel:0' shape=(2, 4) dtype=float32, numpy=\n",
       " array([[-0.29029012,  0.6568773 ,  0.3509326 ,  0.2034781 ],\n",
       "        [-0.24184251, -0.02405548,  0.5541651 ,  0.34402585]],\n",
       "       dtype=float32)>,\n",
       " <tf.Variable 'dense_12/bias:0' shape=(4,) dtype=float32, numpy=array([0., 0., 0., 0.], dtype=float32)>,\n",
       " <tf.Variable 'dense_13/kernel:0' shape=(4, 1) dtype=float32, numpy=\n",
       " array([[-0.8384497],\n",
       "        [ 0.8123046],\n",
       "        [ 1.0726521],\n",
       "        [ 0.7266723]], dtype=float32)>,\n",
       " <tf.Variable 'dense_13/bias:0' shape=(1,) dtype=float32, numpy=array([0.], dtype=float32)>]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.weights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "bcd811a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(model.weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a5d4162",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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