tfp.experimental.nn.util.make_kernel_bias_posterior_mvn_diag
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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
|
...
|
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Last updated 2024-01-12 UTC.
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