Simd::Neural Namespace Reference

Contains Framework for learning of Convolutional Neural Network. More...

Data Structures
class	AveragePoolingLayer
	AveragePoolingLayer class. More...
class	ConvolutionalLayer
	ConfolutionLayer class. More...
class	DropoutLayer
	DroputLayer class. More...
class	FullyConnectedLayer
	FullyConnectedLayer class. More...
struct	Function
	Activation Function structure. More...
struct	Index
	Index structure. More...
class	InputLayer
	InputLayer class. More...
class	Layer
	Layer class. More...
class	MaxPoolingLayer
	MaxPoolingLayer class. More...
class	Network
	Network class. More...
class	PoolingLayer
	PoolingLayer class. More...
struct	TrainOptions
	Contains a set of training options. More...

Typedefs
typedef Point< ptrdiff_t >	Size
	2D-size (width and height).
typedef std::vector< uint8_t, Allocator< uint8_t > >	Buffer
	Vector with 8-bit unsigned integer values.
typedef std::vector< float, Allocator< float > >	Vector
	Vector with 32-bit float point values.
typedef std::vector< ptrdiff_t, Allocator< ptrdiff_t > >	VectorI
	Vector with integer values.
typedef std::vector< Vector >	Vectors
	Vector of vectors with 32-bit float point values.
typedef size_t	Label
	Integer name (label) of object class.
typedef std::vector< Label >	Labels
	Vector of labels.
typedef Simd::View< Allocator >	View
	Image.

Detailed Description

Contains Framework for learning of Convolutional Neural Network.