Package org.deeplearning4j.nn.conf.layers.misc

Class Summary

Class	Description
ElementWiseMultiplicationLayer	Elementwise multiplication layer with weights: implements out = activationFn(input .* w + b) where: - w is a learnable weight vector of length nOut - ".*" is element-wise multiplication - b is a bias vector Note that the input and output sizes of the element-wise layer are the same for this layer
ElementWiseMultiplicationLayer.Builder
FrozenLayer	FrozenLayer is used for the purposes of transfer learning. A frozen layer wraps another DL4J Layer within it.
FrozenLayer.Builder
FrozenLayerWithBackprop	Frozen layer freezes parameters of the layer it wraps, but allows the backpropagation to continue.
RepeatVector	RepeatVector layer configuration.
RepeatVector.Builder<T extends RepeatVector.Builder<T>>