Darknet/YOLO v4.0-11-gbfab9ec
Object Detection Framework
 
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rnn_layer.hpp File Reference
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Macros

#define USET
 

Functions

void backward_rnn_layer (Darknet::Layer &l, Darknet::NetworkState state)
 
void forward_rnn_layer (Darknet::Layer &l, Darknet::NetworkState state)
 
Darknet::Layer make_rnn_layer (int batch, int inputs, int hidden, int outputs, int steps, ACTIVATION activation, int batch_normalize, int log)
 
void update_rnn_layer (Darknet::Layer &l, int batch, float learning_rate, float momentum, float decay)
 

Macro Definition Documentation

◆ USET

#define USET
Todo:
what is this?

Function Documentation

◆ backward_rnn_layer()

void backward_rnn_layer ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ forward_rnn_layer()

void forward_rnn_layer ( Darknet::Layer l,
Darknet::NetworkState  state 
)
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◆ make_rnn_layer()

Darknet::Layer make_rnn_layer ( int  batch,
int  inputs,
int  hidden,
int  outputs,
int  steps,
ACTIVATION  activation,
int  batch_normalize,
int  log 
)
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◆ update_rnn_layer()

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