TensorFlow 2 version
|
View source on GitHub
|
Constrains the weights incident to each hidden unit to have unit norm.
Inherits From: Constraint
tf.keras.constraints.UnitNorm(
axis=0
)
Arguments | |
|---|---|
axis
|
integer, axis along which to calculate weight norms.
For instance, in a Dense layer the weight matrix
has shape (input_dim, output_dim),
set axis to 0 to constrain each weight vector
of length (input_dim,).
In a Conv2D layer with data_format="channels_last",
the weight tensor has shape
(rows, cols, input_depth, output_depth),
set axis to [0, 1, 2]
to constrain the weights of each filter tensor of size
(rows, cols, input_depth).
|
Methods
get_config
get_config()
__call__
__call__(
w
)
Call self as a function.