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Set activation by index


Sets the activations of the layer selected by the index given as input.

If the layers is LSTM/GRU/ConvLSTM it’ll be multiple activations :

  • Activation (All layers with an activation)
  • Recurrent Activation (GRU/LSTM/ConvLSTM)
  • Output Activation (LSTM/ConvLSTM)


Input parameters


Model in : model architecture.
Β index :Β integer,Β layer index.
activation : enum, activation function to use.

RNNCells : cluster,

recurrent_activation : enum, activation function to use for the recurrent step.
output_activation : enum,
activation function to use.

Output parameters


Model out : model architecture.


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 HAIBAL library to run it).

Using the β€œSet All Opti Params” function

1 – Define Graph

We define the graph with one input and two Dense layers named Dense1 and Dense2 parameterized in different ways.

2 – Set Function

We use the function “Set All Opti Params” to set the optimizers of all layers of the model.

3 – Get Function

We use the “Get All Opti Params” function to get the optimizer parameters for all layers in the model.

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