tfp.experimental.joint_distribution_layers.AffineLayer
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Affine layer.
tfp.experimental.joint_distribution_layers.AffineLayer(
weights, bias
)
This represents a linear map: y = weights @ x + bias
.
Attributes |
weights
|
A floating point Tensor with shape [out_units, in_units] .
|
bias
|
A floating point Tensor with shape [out_units] .
|
Methods
__call__
View source
__call__(
x
)
Applies the layer to an input.
Args |
x
|
A floating point Tensor with shape [in_units].
|
Returns |
y
|
A floating point Tensor with shape [out_units].
|
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Last updated 2023-11-21 UTC.
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