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UpdatedNovember 3, 2025

Dense

Description

Gets the weights of the Dense layer selected by the name. Type : polymorphic.

 

 

Input parameters

 

Β Model in :Β model architecture.
Β name : string,Β name of layer.

 

Output parameters

 

Β Model out :Β model architecture.

weights_info : cluster

index : integer, index of layer.
name : string, name of layer.
weights : cluster

weights : array, 2D values. weights = [input_dim, units].
biases : array, 1D values. biases = [units].

Dimension

  • weights = [input_dim, units]

The size of weights depends on the input of the DenseΒ layer and the parameters units.
For example if the input of the layer has a size of [batch_size = 10, input_dim = 5] and units the value 3 then weights will have a size of [input_dim = 5, units = 3].

 

  • biases = [units]

The size of biases depends on the parameter units of the DenseΒ layer.

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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