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Updated
Atanh
Description
Calculates the hyperbolic arctangent of the given input tensor element-wise.

Input parameters
specified_outputs_name :Β array, this parameter lets you manually assign custom names to the output tensors of a node.
Β input (heterogeneous) – T : object, input tensor.
Β training?Β :Β boolean, whether the layer is in training mode (can store data for backward).
Default value βTrueβ.
Β lda coeff :Β float, defines the coefficient by which the loss derivative will be multiplied before being sent to the previous layer (since during the backward run we go backwards).
Default value β1β.
Β name (optional) :Β string, name of the node.
Output parameters
Β output (heterogeneous) – T : object, the hyperbolic arctangent values of the input tensor computed element-wise.
Type Constraints
T in (
tensor(double),Β tensor(float),Β tensor(float16)) : Constrain input and output types to float tensors.Example
All these exemples are snippets PNG, you can drop these Snippet onto the block diagram and get the depicted code added to your VI (Do not forget to install Deep Learning library to run it).
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