mic::mlnn Namespace Reference

Namespaces
	activation_function
	convolution
	cost_function
	experimental
	fully_connected
	regularisation

Classes
class	BackpropagationNeuralNetwork
	Class representing a multi-layer neural network based on backpropagation/gradient descent. More...
class	HebbianNeuralNetwork
	Class representing a multi-layer neural network based on hebbian learning. More...
class	MultiLayerNeuralNetwork
	Class representing a multi-layer neural network. More...
class	Layer

Enumerations
enum	LayerTypes : short {   LayerTypes::ELU = 0, LayerTypes::ReLU, LayerTypes::Sigmoid, LayerTypes::Convolution,   LayerTypes::Cropping, LayerTypes::Padding, LayerTypes::MaxPooling, LayerTypes::Softmax,   LayerTypes::Linear, LayerTypes::SparseLinear, LayerTypes::HebbianLinear, LayerTypes::BinaryCorrelator,   LayerTypes::Dropout, LayerTypes::ConvHebbian }
	Enumeration of possible layer types. More...

Enumeration Type Documentation

enum mic::mlnn::LayerTypes : short

strong

Enumeration of possible layer types.

Author

tkornuta

Enumerator
ELU
ReLU
Sigmoid
Convolution
Cropping
Padding
MaxPooling
Softmax
Linear
SparseLinear
HebbianLinear
BinaryCorrelator
Dropout
ConvHebbian

Definition at line 58 of file Layer.hpp.