Minimum layer
Minimum class
keras.layers.Minimum(**kwargs)
Computes elementwise minimum on a list of inputs.
It takes as input a list of tensors, all of the same shape, and returns a single tensor (also of the same shape).
Examples
>>> input_shape = (2, 3, 4)
>>> x1 = np.random.rand(*input_shape)
>>> x2 = np.random.rand(*input_shape)
>>> y = keras.layers.Minimum()([x1, x2])
Usage in a Keras model:
>>> input1 = keras.layers.Input(shape=(16,))
>>> x1 = keras.layers.Dense(8, activation='relu')(input1)
>>> input2 = keras.layers.Input(shape=(32,))
>>> x2 = keras.layers.Dense(8, activation='relu')(input2)
>>> # equivalent to `y = keras.layers.minimum([x1, x2])`
>>> y = keras.layers.Minimum()([x1, x2])
>>> out = keras.layers.Dense(4)(y)
>>> model = keras.models.Model(inputs=[input1, input2], outputs=out)