tf.keras.layers.Concatenate

Concatenates a list of inputs.

Inherits From: Layer, Operation

tf.keras.layers.Concatenate(
    axis=-1, **kwargs
)

Used in the notebooks

Used in the guide	Used in the tutorials
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It takes as input a list of tensors, all of the same shape except for the concatenation axis, and returns a single tensor that is the concatenation of all inputs.

Examples:

x = np.arange(20).reshape(2, 2, 5)
y = np.arange(20, 30).reshape(2, 1, 5)
keras.layers.Concatenate(axis=1)([x, y])

Usage in a Keras model:

x1 = keras.layers.Dense(8)(np.arange(10).reshape(5, 2))
x2 = keras.layers.Dense(8)(np.arange(10, 20).reshape(5, 2))
y = keras.layers.Concatenate()([x1, x2])

Args
axis	Axis along which to concatenate.
**kwargs	Standard layer keyword arguments.

Returns
A tensor, the concatenation of the inputs alongside axis axis.

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.

Methods

from_config

View source

@classmethod
from_config(
    config
)

Creates an operation from its config.

This method is the reverse of get_config, capable of instantiating the same operation from the config dictionary.

Note: If you override this method, you might receive a serialized dtype config, which is a dict. You can deserialize it as follows:

if "dtype" in config and isinstance(config["dtype"], dict):
    policy = dtype_policies.deserialize(config["dtype"])

Args
config	A Python dictionary, typically the output of get_config.

Returns
An operation instance.