Index

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N

negative() - Method in class mklab.JGNN.core.tensor.DenseTensor

negative() - Method in class mklab.JGNN.core.Tensor

Computes the negative of tensor elements.

Neuralang - Class in mklab.JGNN.adhoc.parsers

Extends the base ModelBuilder with the full capabilities of the Neuralang scripting language.

Neuralang() - Constructor for class mklab.JGNN.adhoc.parsers.Neuralang

NExp - Class in mklab.JGNN.nn.activations

Implements a NNOperation that performs an exponential transformation of its single input, but only on the non-zero elements.

NExp() - Constructor for class mklab.JGNN.nn.activations.NExp

next() - Method in class mklab.JGNN.core.matrix.ColumnRepetition.Repeat1DIterator

next() - Method in class mklab.JGNN.core.matrix.ColumnRepetition.Repeat2DIterator

next() - Method in class mklab.JGNN.core.matrix.Diagonal.Diagonal1DIterator

next() - Method in class mklab.JGNN.core.matrix.Diagonal.Diagonal2DIterator

next() - Method in class mklab.JGNN.core.matrix.RowRepetition.Repeat1DIterator

next() - Method in class mklab.JGNN.core.matrix.RowRepetition.Repeat2DIterator

next() - Method in class mklab.JGNN.core.matrix.SparseMatrix.Sparse2DIterator

next() - Method in class mklab.JGNN.core.matrix.TransposedMatrix.Transposed1DIterator

next() - Method in class mklab.JGNN.core.matrix.TransposedMatrix.Transposed2DIterator

next() - Method in class mklab.JGNN.core.matrix.WrapCols.Wrap1DIterator

next() - Method in class mklab.JGNN.core.matrix.WrapCols.Wrap2DIterator

next() - Method in class mklab.JGNN.core.matrix.WrapRows.Wrap1DIterator

next() - Method in class mklab.JGNN.core.matrix.WrapRows.Wrap2DIterator

next() - Method in class mklab.JGNN.core.util.Range

next() - Method in class mklab.JGNN.core.util.Range2D

NN - Class in tutorial

This implementation covers code of the Neural Networks tutorial.

NN() - Constructor for class tutorial.NN

NNOperation - Class in mklab.JGNN.nn

This class defines an abstract neural network operation with forward and backpropagation capabilities.

NNOperation() - Constructor for class mklab.JGNN.nn.NNOperation

NNOperation.ThreadData - Class in mklab.JGNN.nn

nodeClassification - package nodeClassification

nodeDimensionName - Variable in class mklab.JGNN.adhoc.IdConverter

norm() - Method in class mklab.JGNN.core.Tensor

Normal - Class in mklab.JGNN.core.distribution

Implements a Normal Distribution of given mean and standard deviation.

Normal() - Constructor for class mklab.JGNN.core.distribution.Normal

Instantiates a normal distribution with zero mean and standard deviation equal to 1.

Normal(double, double) - Constructor for class mklab.JGNN.core.distribution.Normal

Instantiates a normal distribution with a given mean and standard deviation.

normalized() - Method in class mklab.JGNN.core.Tensor

numBatches - Variable in class mklab.JGNN.adhoc.ModelTraining

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