NNFS Namespace Reference

Classes
class	Activation
	Base class for all activation functions. More...
class	Adagrad
	Adagrad optimizer (Adaptive Gradient) More...
class	Adam
	Adam optimizer - Adaptive Moment Estimation, one of the most popular and efficient gradient-based optimization algorithms. More...
class	CCE
	Cross-entropy loss function. More...
class	CCESoftmax
	Cross-entropy loss function with softmax activation. More...
class	Dense
	Dense layer. More...
class	Layer
	Base class for all layers. More...
class	Loss
	Base class for all loss functions. More...
class	Metrics
	Metrics class. More...
class	Model
	Abstract base class for the model in a neural network. More...
class	NeuralNetwork
	A neural network model. More...
class	Optimizer
	Base class for all optimizers. More...
class	ReLU
	ReLU activation function. More...
class	RMSProp
	Root Mean Square Propagation optimizer. More...
class	SGD
	Stochastic Gradient Descent optimizer. More...
class	Sigmoid
	Sigmoid activation function. More...
class	Softmax
	Softmax activation function. More...
class	Tanh

Enumerations
enum class	ActivationType {   RELU , SIGMOID , TANH , SOFTMAX ,   NONE }
	Enum class for activation types. More...
enum class	LayerType { DENSE , ACTIVATION }
	Enum class for layer types. More...
enum class	LossType { CCE , CCE_SOFTMAX }
	Enum class for loss types. More...

Enumeration Type Documentation

ActivationType

enum class NNFS::ActivationType

strong

Enum class for activation types.

Enumerator
RELU
SIGMOID
TANH
SOFTMAX
NONE

LayerType

enum class NNFS::LayerType

strong

Enum class for layer types.

Enumerator
DENSE
ACTIVATION

LossType

enum class NNFS::LossType

strong

Enum class for loss types.

Enumerator
CCE
CCE_SOFTMAX