Embedding

Description

Defines the weight of the Embedding layer selected by the name. Type : polymorphic.

Input parameters

 Model in : model architecture.
 name : string, name of layer.
 embeddings : array, 2D values. embeddings = [input_dim, output_dim].

Output parameters

 Model out : model architecture.

Dimension

• embeddings = [input_dim, output_dim]

The size depends on the input_dim and output_dim parameters of the Embedding layer.
For example if the input_dim parameter has the value 5 and the output_dim parameter has the value 3 then the size of embeddings will be [input_dim = 5, output_dim = 3].

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).