vectorflow.layers

Implementation of the various computational layers.

Members

Classes

Data
class Data(alias TYPE)
Undocumented in source.
DenseData
class DenseData

Input layer representing a dense float[]

DropOut
class DropOut

DropOut layer accepting all dense or all sparse parents.

Linear
class Linear

Linear layer accepting sparse or dense parents and outputing a dense vector.

NotImplementedException
class NotImplementedException
Undocumented in source.
ReLU
class ReLU

ReLU activation layer accepting dense parents.

SeLU
class SeLU

Scaled Exponential Linear Unit activation layer accepting dense parents. See Self-Normalizing Neural Networks for details.

SparseData
class SparseData

Input layer representing a sparse array SparseF[] of (uint, float) pairs

SparseKernelExpander
class SparseKernelExpander

On-the-fly polynomial kernel expansion of sparse input.

TanH
class TanH

TanH activation layer accepting dense parents.

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