tfp.experimental.joint_distribution_layers.AffineLayer

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__(
    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.