tfp.experimental.nn.util.make_kernel_bias_posterior_mvn_diag
Stay organized with collections
Save and categorize content based on your preferences.
Create learnable posterior for Variational layers with kernel and bias.
tfp.experimental.nn.util.make_kernel_bias_posterior_mvn_diag(
kernel_shape,
bias_shape,
kernel_initializer=None,
bias_initializer=None,
kernel_batch_ndims=0,
bias_batch_ndims=0,
dtype=tf.float32,
kernel_name='posterior_kernel',
bias_name='posterior_bias'
)
Args |
kernel_shape
|
...
|
bias_shape
|
...
|
kernel_initializer
|
...
Default value: None (i.e., tf.initializers.glorot_uniform() ).
|
bias_initializer
|
...
Default value: None (i.e., tf.initializers.zeros() ).
|
kernel_batch_ndims
|
...
Default value: 0 .
|
bias_batch_ndims
|
...
Default value: 0 .
|
dtype
|
...
Default value: tf.float32 .
|
kernel_name
|
...
Default value: "posterior_kernel" .
|
bias_name
|
...
Default value: "posterior_bias" .
|
Returns |
kernel_and_bias_distribution
|
...
|
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 2024-01-12 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-12 UTC."],[],[]]