Created
May 13, 2019 08:45
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Predict y = 5 ( x +1 )
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| import tensorflow as tf | |
| import numpy as np | |
| from tensorflow import keras | |
| model = keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])]) | |
| model.compile(optimizer='sgd', loss='mean_squared_error') | |
| xs = np.array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0], dtype=float) | |
| ys = np.array([5.0,10.0,15.0,20.0,25.0,30.0, 35.0, 40.0, 45.0,50.0], dtype=float) | |
| model.fit(xs, ys, epochs=2500) | |
| print(model.predict([20.0])) |
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