experiments/STT-tensorflow
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Added output

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Added an input to train the model on and the output it returns
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Joseph-Rance 2020-01-17 16:49:47 +00:00 committed by GitHub
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1 changed files with 6 additions and 1 deletions
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tensorflow/python/keras/layers/pooling.py
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@ -373,10 +373,15 @@ class MaxPooling2D(Pooling2D):
Usage Example:
>>> input_image = np.random.normal(0.5,0.1,(1,28,28,1))
>>> output = np.random.normal(0.5,0.1,(1,13,13,16))
>>> model = tf.keras.models.Sequential()
>>> model.add(tf.keras.layers.Conv2D(32, kernel_size=(3, 3),
>>> model.add(tf.keras.layers.Conv2D(16, kernel_size=(3, 3),
... input_shape=(28,28,1)))
>>> model.add(tf.keras.layers.MaxPooling2D(pool_size=(2, 2)))
>>> model.compile('adam', 'mean_squared_error')
>>> model.fit(input_image, output)
<tensorflow.python.keras.callbacks.History at 0x7f851d526e48>
For example, for stride=(1,1) and padding="same":