Bidirectional by index — Deep Learning Toolkit / Advanced / Set Weight / Index

Bidirectional

Graiphic · 2025-11-03

Public technical reference documentation from Graiphic. For current SOTA installation and toolkit guides, visit the documentation center.

Bidirectional

Description

Defines the weights of the Bidirectional layer selected by the index. Type : polymorphic.

Input parameters

Model in : model architecture.
index : integer, index of layer.
layer : variant, cluster from “gru_weights” or “lstm_weights” or “simplernn_weights“.
backward_layer : variant, cluster from “gru_weights” or “lstm_weights” or “simplernn_weights“.

Output parameters

Model out : model architecture.

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).