Computes elementwise minimum on a list of inputs.
Inherits From: Layer, Operation
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).
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)
| Attributes | |
|---|---|
input | Retrieves the input tensor(s) of a symbolic operation. Only returns the tensor(s) corresponding to the first time the operation was called. |
output | Retrieves the output tensor(s) of a layer. Only returns the tensor(s) corresponding to the first time the operation was called. |
from_config@classmethod
from_config(
config
)
Creates a layer from its config.
This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights).
| Args | |
|---|---|
config | A Python dictionary, typically the output of get_config. |
| Returns | |
|---|---|
| A layer instance. |
symbolic_callsymbolic_call(
*args, **kwargs
)
© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/layers/Minimum