Bidirectional
Description
Adds the weights of the Bidirectional layer to the weights table. Type : polymorphic.
Documentation illustration (illustration unavailable in the archive).
Input parameters
Weights in : array
index : integer, index of layer.
Documentation illustration (illustration unavailable in the archive). weights : variant, weights values.
Documentation illustration (illustration unavailable in the archive).
index : integer, index of layer.
Documentation illustration (illustration unavailable in the archive). layer : variant, cluster from “gru_weights” or “lstm_weights” or “simplernn_weights“.
Documentation illustration (illustration unavailable in the archive). backward_layer : variant, cluster from “gru_weights” or “lstm_weights” or “simplernn_weights“.
Output parameters
Weights out : array
index : integer, index of layer.
Documentation illustration (illustration unavailable in the archive). weights : variant, weights values.
Documentation illustration (illustration unavailable in the archive).
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).
