Package | Description |
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org.deeplearning4j.nn.conf.layers.misc |
Class and Description |
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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 |
RepeatVector
RepeatVector layer configuration.
|
RepeatVector.Builder |
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