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Looking for a cheat sheet to help understand the various types of layers (ConvolutionLayer, SubsamplingLayer..) in a multilayer Neural network , and rules for using them (eg builder errors when one illegally follows another)
Quickref covers all layer types: https://deeplearning4j.org/quickref#layers