tf.keras.layers.RepeatVector

Repeats the input n times.

Inherits From: Layer, Operation

tf.keras.layers.RepeatVector(
    n, **kwargs
)

Example:

x = keras.Input(shape=(32,))
y = keras.layers.RepeatVector(3)(x)
y.shape
(None, 3, 32)

Args
n	Integer, repetition factor.

Input shape
2D tensor with shape (batch_size, features).

Output shape
3D tensor with shape (batch_size, n, features).

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 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_call

View source

symbolic_call(
    *args, **kwargs
)