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.
[null,null,["Last updated 2023-11-21 UTC."],[],[],null,["# tfp.experimental.joint_distribution_layers.AffineLayer\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/experimental/joint_distribution_layers/layers.py#L41-L65) |\n\nAffine layer. \n\n tfp.experimental.joint_distribution_layers.AffineLayer(\n weights, bias\n )\n\nThis represents a linear map: `y = weights @ x + bias`.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Attributes ---------- ||\n|-----------|-------------------------------------------------------------|\n| `weights` | A floating point Tensor with shape `[out_units, in_units]`. |\n| `bias` | A floating point Tensor with shape `[out_units]`. |\n\n\u003cbr /\u003e\n\nMethods\n-------\n\n### `__call__`\n\n[View source](https://github.com/tensorflow/probability/blob/v0.23.0/tensorflow_probability/python/experimental/joint_distribution_layers/layers.py#L55-L65) \n\n __call__(\n x\n )\n\nApplies the layer to an input.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ||\n|-----|--------------------------------------------------|\n| `x` | A floating point Tensor with shape \\[in_units\\]. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ||\n|-----|---------------------------------------------------|\n| `y` | A floating point Tensor with shape \\[out_units\\]. |\n\n\u003cbr /\u003e"]]
View source on GitHub