toolkit.neuralnetwork.function
Bias
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package function
The input signal
The bias weights
Flag for sharing bias across the input field. Sharing bias causes the
bias to be applied uniformly across the field points of the input and
requires that weights has a 0D field shape. Unshared bias applies a different
bias to each field point and requires weights to have the same field shape as input.
The input signal
Raise a node to a fixed power.
Raise a node to a fixed power. Cog has two pow() function signatures corresponding to both integer and non-integer powers. The integer case is detected here and special-cased (instead of having a separate PowN node for this).
If the power n is anything other than a positive integer, make sure the inputs
are always positive or NaNs will result.
the input signal
the power to raise the input to
Flag for sharing bias across the input field.
Flag for sharing bias across the input field. Sharing bias causes the
bias to be applied uniformly across the field points of the input and
requires that weights has a 0D field shape. Unshared bias applies a different
bias to each field point and requires weights to have the same field shape as input.
The bias weights
A bias transformation that adds bias weights to the input signal
The input signal
The bias weights
Flag for sharing bias across the input field. Sharing bias causes the bias to be applied uniformly across the field points of the input and requires that
weightshas a 0D field shape. Unshared bias applies a different bias to each field point and requiresweightsto have the same field shape asinput.