I want bulid up with the deep learning toolbox (CNN, deppNrworkDesigner, layerGraph) a variational autoencoder for a sequence data input.
For this I need one custom layer with 2 inputs and a custom regression output layer in my networtk. But the documentation page "Define Custome Deep Learning Layers" just explain templates for layers with one input.
Howe i can adapt this templates for layers with more than one input and how i can use this layer in functions and apps (deepNetworkDesigner, trainNetwork, layerGraph-Functions etc.)?
i have Adapt the class of the Addition Layer, but it doesnt work well.