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mentix02/G-ML-HelloWorld.ipynb

Created May 28, 2023 03:22
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G-ML-HelloWorld.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "89459136",
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import tensorflow as tf\n",
"from tensorflow import keras\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3add5fd2",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2022-07-06 15:14:58.366124: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n",
"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
]
}
],
"source": [
"# define model\n",
"model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "9b27ea15",
"metadata": {},
"outputs": [],
"source": [
"# use the sgd optimizer\n",
"model.compile(optimizer='sgd', loss='mean_squared_error')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "52a773c6",
"metadata": {},
"outputs": [],
"source": [
"# map a simple f(x) = 3 * x + 1\n",
"xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=float)\n",
"ys = np.array([-2.0, 1.0, 4.0, 7.0, 10.0, 13.0], dtype=float)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "c76c2829",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"# Create a figure containing a single axes.\n",
"fig, ax = plt.subplots()\n",
"ax.plot(xs, ys);"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "0445ac40",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Epoch 1/500\n",
"1/1 [==============================] - 0s 197ms/step - loss: 110.2249\n",
"Epoch 2/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 86.7335\n",
"Epoch 3/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 68.2513\n",
"Epoch 4/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 53.7102\n",
"Epoch 5/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 42.2696\n",
"Epoch 6/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 33.2684\n",
"Epoch 7/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 26.1865\n",
"Epoch 8/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 20.6145\n",
"Epoch 9/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 16.2305\n",
"Epoch 10/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 12.7811\n",
"Epoch 11/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 10.0671\n",
"Epoch 12/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 7.9316\n",
"Epoch 13/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 6.2512\n",
"Epoch 14/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.9290\n",
"Epoch 15/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 3.8885\n",
"Epoch 16/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 3.0696\n",
"Epoch 17/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.4252\n",
"Epoch 18/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.9180\n",
"Epoch 19/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.5187\n",
"Epoch 20/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.2044\n",
"Epoch 21/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.9569\n",
"Epoch 22/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.7620\n",
"Epoch 23/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.6085\n",
"Epoch 24/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.4875\n",
"Epoch 25/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.3922\n",
"Epoch 26/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.3170\n",
"Epoch 27/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.2576\n",
"Epoch 28/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.2108\n",
"Epoch 29/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.1737\n",
"Epoch 30/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.1444\n",
"Epoch 31/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.1212\n",
"Epoch 32/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.1028\n",
"Epoch 33/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0882\n",
"Epoch 34/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0765\n",
"Epoch 35/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0672\n",
"Epoch 36/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0597\n",
"Epoch 37/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0537\n",
"Epoch 38/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0488\n",
"Epoch 39/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0448\n",
"Epoch 40/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0416\n",
"Epoch 41/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0389\n",
"Epoch 42/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0366\n",
"Epoch 43/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0347\n",
"Epoch 44/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0331\n",
"Epoch 45/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0318\n",
"Epoch 46/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0305\n",
"Epoch 47/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0295\n",
"Epoch 48/500\n",
"1/1 [==============================] - 0s 7ms/step - loss: 0.0285\n",
"Epoch 49/500\n",
"1/1 [==============================] - 0s 6ms/step - loss: 0.0277\n",
"Epoch 50/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0269\n",
"Epoch 51/500\n",
"1/1 [==============================] - 0s 9ms/step - loss: 0.0262\n",
"Epoch 52/500\n",
"1/1 [==============================] - 0s 6ms/step - loss: 0.0255\n",
"Epoch 53/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0249\n",
"Epoch 54/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0243\n",
"Epoch 55/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0237\n",
"Epoch 56/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0232\n",
"Epoch 57/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0227\n",
"Epoch 58/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0222\n",
"Epoch 59/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0217\n",
"Epoch 60/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0212\n",
"Epoch 61/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0208\n",
"Epoch 62/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0203\n",
"Epoch 63/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0199\n",
"Epoch 64/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0195\n",
"Epoch 65/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0191\n",
"Epoch 66/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0187\n",
"Epoch 67/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0183\n",
"Epoch 68/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0179\n",
"Epoch 69/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0176\n",
"Epoch 70/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0172\n",
"Epoch 71/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0168\n",
"Epoch 72/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0165\n",
"Epoch 73/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0162\n",
"Epoch 74/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0158\n",
"Epoch 75/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0155\n",
"Epoch 76/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0152\n",
"Epoch 77/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0149\n",
"Epoch 78/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0146\n",
"Epoch 79/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0143\n",
"Epoch 80/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0140\n",
"Epoch 81/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0137\n",
"Epoch 82/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0134\n",
"Epoch 83/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0131\n",
"Epoch 84/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0129\n",
"Epoch 85/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0126\n",
"Epoch 86/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0123\n",
"Epoch 87/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0121\n",
"Epoch 88/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0118\n",
"Epoch 89/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0116\n",
"Epoch 90/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0113\n",
"Epoch 91/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0111\n",
"Epoch 92/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0109\n",
"Epoch 93/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0107\n",
"Epoch 94/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0104\n",
"Epoch 95/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0102\n",
"Epoch 96/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0100\n",
"Epoch 97/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0098\n",
"Epoch 98/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0096\n",
"Epoch 99/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0094\n",
"Epoch 100/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0092\n",
"Epoch 101/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0090\n",
"Epoch 102/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0088\n",
"Epoch 103/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0087\n",
"Epoch 104/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0085\n",
"Epoch 105/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0083\n",
"Epoch 106/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0081\n",
"Epoch 107/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0080\n",
"Epoch 108/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0078\n",
"Epoch 109/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0077\n",
"Epoch 110/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0075\n",
"Epoch 111/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0073\n",
"Epoch 112/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0072\n",
"Epoch 113/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0070\n",
"Epoch 114/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0069\n",
"Epoch 115/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0068\n",
"Epoch 116/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0066\n",
"Epoch 117/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0065\n",
"Epoch 118/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0063\n",
"Epoch 119/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0062\n",
"Epoch 120/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0061\n",
"Epoch 121/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0060\n",
"Epoch 122/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0058\n",
"Epoch 123/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0057\n",
"Epoch 124/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0056\n",
"Epoch 125/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0055\n",
"Epoch 126/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0054\n",
"Epoch 127/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0053\n",
"Epoch 128/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0052\n",
"Epoch 129/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0051\n",
"Epoch 130/500\n",
"1/1 [==============================] - 0s 7ms/step - loss: 0.0049\n",
"Epoch 131/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0048\n",
"Epoch 132/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0047\n",
"Epoch 133/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0046\n",
"Epoch 134/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0046\n",
"Epoch 135/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0045\n",
"Epoch 136/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0044\n",
"Epoch 137/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0043\n",
"Epoch 138/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0042\n",
"Epoch 139/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0041\n",
"Epoch 140/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0040\n",
"Epoch 141/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0039\n",
"Epoch 142/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0039\n",
"Epoch 143/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0038\n",
"Epoch 144/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0037\n",
"Epoch 145/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0036\n",
"Epoch 146/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0035\n",
"Epoch 147/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0035\n",
"Epoch 148/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0034\n",
"Epoch 149/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0033\n",
"Epoch 150/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0033\n",
"Epoch 151/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0032\n",
"Epoch 152/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0031\n",
"Epoch 153/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0031\n",
"Epoch 154/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0030\n",
"Epoch 155/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0029\n",
"Epoch 156/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0029\n",
"Epoch 157/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0028\n",
"Epoch 158/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0028\n",
"Epoch 159/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0027\n",
"Epoch 160/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0027\n",
"Epoch 161/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0026\n",
"Epoch 162/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0025\n",
"Epoch 163/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0025\n",
"Epoch 164/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0024\n",
"Epoch 165/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0024\n",
"Epoch 166/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0023\n",
"Epoch 167/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0023\n",
"Epoch 168/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0022\n",
"Epoch 169/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0022\n",
"Epoch 170/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0022\n",
"Epoch 171/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0021\n",
"Epoch 172/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0021\n",
"Epoch 173/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0020\n",
"Epoch 174/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0020\n",
"Epoch 175/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0019\n",
"Epoch 176/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0019\n",
"Epoch 177/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0019\n",
"Epoch 178/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0018\n",
"Epoch 179/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0018\n",
"Epoch 180/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0018\n",
"Epoch 181/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0017\n",
"Epoch 182/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0017\n",
"Epoch 183/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0016\n",
"Epoch 184/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0016\n",
"Epoch 185/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0016\n",
"Epoch 186/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0015\n",
"Epoch 187/500\n",
"1/1 [==============================] - 0s 5ms/step - loss: 0.0015\n",
"Epoch 188/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0015\n",
"Epoch 189/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0015\n",
"Epoch 190/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0014\n",
"Epoch 191/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0014\n",
"Epoch 192/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 0.0014\n",
"Epoch 193/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0013\n",
"Epoch 194/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 0.0013\n",
"Epoch 195/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0013\n",
"Epoch 196/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 0.0013\n",
"Epoch 197/500\n",
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]
},
{
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"output_type": "stream",
"text": [
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"Epoch 207/500\n",
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"Epoch 400/500\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"1/1 [==============================] - 0s 3ms/step - loss: 1.8227e-05\n",
"Epoch 401/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.7852e-05\n",
"Epoch 402/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.7486e-05\n",
"Epoch 403/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.7127e-05\n",
"Epoch 404/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.6774e-05\n",
"Epoch 405/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.6429e-05\n",
"Epoch 406/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.6092e-05\n",
"Epoch 407/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.5762e-05\n",
"Epoch 408/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.5438e-05\n",
"Epoch 409/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.5121e-05\n",
"Epoch 410/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.4810e-05\n",
"Epoch 411/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.4507e-05\n",
"Epoch 412/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.4208e-05\n",
"Epoch 413/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.3916e-05\n",
"Epoch 414/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.3630e-05\n",
"Epoch 415/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.3350e-05\n",
"Epoch 416/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.3076e-05\n",
"Epoch 417/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.2808e-05\n",
"Epoch 418/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.2544e-05\n",
"Epoch 419/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.2287e-05\n",
"Epoch 420/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.2035e-05\n",
"Epoch 421/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.1787e-05\n",
"Epoch 422/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.1545e-05\n",
"Epoch 423/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 1.1308e-05\n",
"Epoch 424/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.1075e-05\n",
"Epoch 425/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.0848e-05\n",
"Epoch 426/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.0625e-05\n",
"Epoch 427/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 1.0406e-05\n",
"Epoch 428/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 1.0193e-05\n",
"Epoch 429/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 9.9837e-06\n",
"Epoch 430/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 9.7781e-06\n",
"Epoch 431/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 9.5770e-06\n",
"Epoch 432/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 9.3809e-06\n",
"Epoch 433/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 9.1883e-06\n",
"Epoch 434/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 8.9993e-06\n",
"Epoch 435/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 8.8145e-06\n",
"Epoch 436/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 8.6335e-06\n",
"Epoch 437/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 8.4560e-06\n",
"Epoch 438/500\n",
"1/1 [==============================] - 0s 7ms/step - loss: 8.2825e-06\n",
"Epoch 439/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 8.1123e-06\n",
"Epoch 440/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 7.9451e-06\n",
"Epoch 441/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 7.7825e-06\n",
"Epoch 442/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 7.6225e-06\n",
"Epoch 443/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 7.4659e-06\n",
"Epoch 444/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 7.3124e-06\n",
"Epoch 445/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 7.1626e-06\n",
"Epoch 446/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 7.0151e-06\n",
"Epoch 447/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 6.8711e-06\n",
"Epoch 448/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 6.7299e-06\n",
"Epoch 449/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 6.5915e-06\n",
"Epoch 450/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 6.4558e-06\n",
"Epoch 451/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 6.3234e-06\n",
"Epoch 452/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 6.1935e-06\n",
"Epoch 453/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 6.0659e-06\n",
"Epoch 454/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 5.9408e-06\n",
"Epoch 455/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 5.8188e-06\n",
"Epoch 456/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 5.6991e-06\n",
"Epoch 457/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 5.5819e-06\n",
"Epoch 458/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 5.4674e-06\n",
"Epoch 459/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 5.3553e-06\n",
"Epoch 460/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 5.2451e-06\n",
"Epoch 461/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 5.1378e-06\n",
"Epoch 462/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 5.0321e-06\n",
"Epoch 463/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.9288e-06\n",
"Epoch 464/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.8276e-06\n",
"Epoch 465/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.7284e-06\n",
"Epoch 466/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.6316e-06\n",
"Epoch 467/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.5363e-06\n",
"Epoch 468/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.4433e-06\n",
"Epoch 469/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.3519e-06\n",
"Epoch 470/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.2627e-06\n",
"Epoch 471/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 4.1749e-06\n",
"Epoch 472/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.0894e-06\n",
"Epoch 473/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 4.0053e-06\n",
"Epoch 474/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.9229e-06\n",
"Epoch 475/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.8423e-06\n",
"Epoch 476/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 3.7634e-06\n",
"Epoch 477/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.6859e-06\n",
"Epoch 478/500\n",
"1/1 [==============================] - 0s 4ms/step - loss: 3.6104e-06\n",
"Epoch 479/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.5361e-06\n",
"Epoch 480/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.4633e-06\n",
"Epoch 481/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.3923e-06\n",
"Epoch 482/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 3.3226e-06\n",
"Epoch 483/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.2542e-06\n",
"Epoch 484/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.1876e-06\n",
"Epoch 485/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.1221e-06\n",
"Epoch 486/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 3.0578e-06\n",
"Epoch 487/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.9948e-06\n",
"Epoch 488/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.9333e-06\n",
"Epoch 489/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 2.8732e-06\n",
"Epoch 490/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.8143e-06\n",
"Epoch 491/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.7565e-06\n",
"Epoch 492/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.7001e-06\n",
"Epoch 493/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.6447e-06\n",
"Epoch 494/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.5903e-06\n",
"Epoch 495/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.5370e-06\n",
"Epoch 496/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.4847e-06\n",
"Epoch 497/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 2.4337e-06\n",
"Epoch 498/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.3837e-06\n",
"Epoch 499/500\n",
"1/1 [==============================] - 0s 3ms/step - loss: 2.3348e-06\n",
"Epoch 500/500\n",
"1/1 [==============================] - 0s 2ms/step - loss: 2.2869e-06\n"
]
},
{
"data": {
"text/plain": [
"<keras.callbacks.History at 0x1219fe0a0>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.fit(xs, ys, epochs=500)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "f73b72b6",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1/1 [==============================] - 0s 67ms/step\n",
"[[30.995588]]\n"
]
}
],
"source": [
"print(model.predict([10.0]))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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