Deep Neural Network for MNIST Handwriting Recognition: Data Fields - Variables

Deep Neural Network for MNIST Handwriting Recognition 1.0

Deep Neural Network for MNIST Handwriting Recognition

- a -

activationType : LayerDefinition

- b -

backwardConnCount : Node
bias : Node

- c -

columnCount : Layer
columns : Layer
connections : Node
count : Vector

- d -

depth : Volume

- e -

errorSum : Node

- f -

filter : LayerDefinition
forwardConnCount : Node

- h -

height : Volume

- i -

id : Layer
imgHeight : MNIST_ImageFileHeader
imgWidth : MNIST_ImageFileHeader

- l -

layerCount : Network
layerDef : Layer
layers : Network
layerType : LayerDefinition
learningRate : Network

- m -

magicNumber : MNIST_ImageFileHeader , MNIST_LabelFileHeader
maxConnCountPerNode : Column
maxImages : MNIST_ImageFileHeader , MNIST_LabelFileHeader

- n -

nodeCount : Column
nodeMap : LayerDefinition
nodePtr : Connection
nodes : Column
nullWeight : Network

- o -

output : Node

- p -

pixel : MNIST_Image

- s -

size : Column , Layer , Network , Node

- v -

vals : Vector

- w -

weightCount : Network
weightPtr : Connection
weightsPtr : Layer , Network
width : Volume