tf.keras.layers.MaxPool2D

TensorFlow 1 version

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Layer that computes the minimum (element-wise) a list of inputs.

Inherits From: Layer, Module

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.Minimum

tf.keras.layers.Minimum(
    **kwargs
)

It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape).

tf.keras.layers.Minimum()([np.arange(5).reshape(5, 1),
                           np.arange(5, 10).reshape(5, 1)])
<tf.Tensor: shape=(5, 1), dtype=int64, numpy=
array([[0],
     [1],
     [2],
     [3],
     [4]])>

x1 = tf.keras.layers.Dense(8)(np.arange(10).reshape(5, 2))
x2 = tf.keras.layers.Dense(8)(np.arange(10, 20).reshape(5, 2))
minned = tf.keras.layers.Minimum()([x1, x2])
minned.shape
TensorShape([5, 8])

Arguments
`**kwargs`	standard layer keyword arguments.

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tf.keras / layers / layers.MaxPool2D

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Arguments