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H

HeNormal - Class in com.jml.neural_network.layers.initilizers
layer parameter initializer to produce random values from a normal distribution with standard deviation std = sqrt(2 / fanIn) and mean of 0 where fanIn is the input dimension for the layer.
HeNormal() - Constructor for class com.jml.neural_network.layers.initilizers.HeNormal
Creates a HeNormal initializer.
HeNormal(long) - Constructor for class com.jml.neural_network.layers.initilizers.HeNormal
Creates a HeNormal initializer.
HeUniform - Class in com.jml.neural_network.layers.initilizers
layer parameter initializer to produce random values from a clipped uniform distribution in [-lim, lim] where lim = sqrt(6 / fanIn), fanIn is the input dimension for the layer.
HeUniform() - Constructor for class com.jml.neural_network.layers.initilizers.HeUniform
Creates a HeUniform initializer.
HeUniform(long) - Constructor for class com.jml.neural_network.layers.initilizers.HeUniform
Creates a HeUniform initializer.
HYPER_PARAMETERS - Enum constant in enum class com.jml.neural_network.ModelTags
 
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