Functions
rnn_layer.c File Reference
#include "rnn_layer.h"
#include "connected_layer.h"
#include "utils.h"
#include "cuda.h"
#include "blas.h"
#include "gemm.h"
#include <math.h>
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
Include dependency graph for rnn_layer.c:

Go to the source code of this file.

Functions

void backward_rnn_layer (layer l, network_state state)
void forward_rnn_layer (layer l, network_state state)
static void increment_layer (layer *l, int steps)
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 (layer l, int batch, float learning_rate, float momentum, float decay)

Function Documentation

void backward_rnn_layer ( layer  l,
network_state  state 
)

Definition at line 124 of file rnn_layer.c.

void forward_rnn_layer ( layer  l,
network_state  state 
)

Definition at line 83 of file rnn_layer.c.

static void increment_layer ( layer l,
int  steps 
) [static]

Definition at line 13 of file rnn_layer.c.

layer make_rnn_layer ( int  batch,
int  inputs,
int  hidden,
int  outputs,
int  steps,
ACTIVATION  activation,
int  batch_normalize,
int  log 
)

Definition at line 29 of file rnn_layer.c.

void update_rnn_layer ( layer  l,
int  batch,
float  learning_rate,
float  momentum,
float  decay 
)

Definition at line 76 of file rnn_layer.c.



rail_object_detector
Author(s):
autogenerated on Sat Jun 8 2019 20:26:31