connected_layer.hpp File Reference

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Functions
void	backward_connected_layer (Darknet::Layer &l, Darknet::NetworkState state)
void	denormalize_connected_layer (Darknet::Layer &l)
void	forward_connected_layer (Darknet::Layer &l, Darknet::NetworkState state)
size_t	get_connected_workspace_size (const Darknet::Layer &l)
Darknet::Layer	make_connected_layer (int batch, int steps, int inputs, int outputs, ACTIVATION activation, int batch_normalize)
void	statistics_connected_layer (Darknet::Layer &l)
void	update_connected_layer (Darknet::Layer &l, int batch, float learning_rate, float momentum, float decay)

Function Documentation

backward_connected_layer()

void backward_connected_layer	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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denormalize_connected_layer()

void denormalize_connected_layer

(

Darknet::Layer &

l

)

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forward_connected_layer()

void forward_connected_layer	(	Darknet::Layer &	l,
		Darknet::NetworkState	state
	)

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get_connected_workspace_size()

size_t get_connected_workspace_size

(

const Darknet::Layer &

l

)

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make_connected_layer()

Darknet::Layer make_connected_layer	(	int	batch,
		int	steps,
		int	inputs,
		int	outputs,
		ACTIVATION	activation,
		int	batch_normalize
	)

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statistics_connected_layer()

void statistics_connected_layer

(

Darknet::Layer &

l

)

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update_connected_layer()

void update_connected_layer	(	Darknet::Layer &	l,
		int	batch,
		float	learning_rate,
		float	momentum,
		float	decay
	)

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