MATLAB: What is the activation in an LSTM and fully connected layer

deep learninglstmMATLAB

In the documentation, it is not clear what is the activation after an lstm or a fully connected layer. In an example the structure of the network was the following: -Sequence input -LSTM layer -LSTM layer -Fully Connected Layer -Regression Layer
Someone had a similar question and the verified answer was that the activations can be imported as individual layers (e.g reluLayer) but in the example above there are no reluLayers or something similar which means that the activations must be already inside the layers (e.g inside the LSTM layer). Could someone tell me what are those activations and if it is possible to change them?

Best Answer

Hi Christos,
Long Short-Term Memory networks have tanh and sigmoid as the internal activation functions. You can see more details on that in the following documentation page:
https://in.mathworks.com/help/nnet/ug/long-short-term-memory-networks.html
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