tfrs.layers.blocks.MLP
Sequential multi-layer perceptron (MLP) block.
tfrs.layers.blocks.MLP(
units: List[int],
use_bias: bool = True,
activation: Optional[types.Activation] = 'relu',
final_activation: Optional[types.Activation] = None,
**kwargs
) -> None
Args |
units
|
Sequential list of layer sizes.
|
use_bias
|
Whether to include a bias term.
|
activation
|
Type of activation to use on all except the last layer.
|
final_activation
|
Type of activation to use on last layer.
|
**kwargs
|
Extra args passed to the Keras Layer base class.
|
Methods
call
View source
call(
x: tf.Tensor
) -> tf.Tensor
Performs the forward computation of the block.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[]]