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Layer that computes the maximum (element-wise) a list of inputs.
tf.keras.layers.Maximum(
**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.Maximum()([np.arange(5).reshape(5, 1),
np.arange(5, 10).reshape(5, 1)])
<tf.Tensor: shape=(5, 1), dtype=int64, numpy=
array([[5],
[6],
[7],
[8],
[9]])>
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))
maxed = tf.keras.layers.Maximum()([x1, x2])
maxed.shape
TensorShape([5, 8])
Args | |
---|---|
**kwargs
|
standard layer keyword arguments. |