From f047cfff99e00e28c02eb59b6d32386c122f9af6 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Sun, 08 Mar 2015 18:31:12 +0000
Subject: [PATCH] renamed sigmoid to logistic
---
src/network.h | 49 ++++++++++++++++++++++++++++++++++++++-----------
1 files changed, 38 insertions(+), 11 deletions(-)
diff --git a/src/network.h b/src/network.h
index 35a58ca..d2fb346 100644
--- a/src/network.h
+++ b/src/network.h
@@ -2,41 +2,66 @@
#ifndef NETWORK_H
#define NETWORK_H
-#include "opencl.h"
#include "image.h"
#include "data.h"
typedef enum {
CONVOLUTIONAL,
+ DECONVOLUTIONAL,
CONNECTED,
MAXPOOL,
SOFTMAX,
- NORMALIZATION
+ DETECTION,
+ NORMALIZATION,
+ DROPOUT,
+ FREEWEIGHT,
+ CROP,
+ COST
} LAYER_TYPE;
typedef struct {
int n;
int batch;
+ int seen;
+ float learning_rate;
+ float momentum;
+ float decay;
void **layers;
LAYER_TYPE *types;
int outputs;
float *output;
#ifdef GPU
- cl_mem input_cl;
- cl_mem output_cl;
+ float **input_gpu;
+ float **truth_gpu;
#endif
} network;
+#ifdef GPU
+float train_network_datum_gpu(network net, float *x, float *y);
+float *network_predict_gpu(network net, float *input);
+float * get_network_output_gpu_layer(network net, int i);
+float * get_network_delta_gpu_layer(network net, int i);
+#endif
+
+void compare_networks(network n1, network n2, data d);
+char *get_layer_string(LAYER_TYPE a);
+
network make_network(int n, int batch);
-void forward_network(network net, float *input, int train);
-float backward_network(network net, float *input, float *truth);
-void update_network(network net, float step, float momentum, float decay);
-float train_network_sgd(network net, data d, int n, float step, float momentum,float decay);
-float train_network_batch(network net, data d, int n, float step, float momentum,float decay);
-void train_network(network net, data d, float step, float momentum, float decay);
+void forward_network(network net, float *input, float *truth, int train);
+void backward_network(network net, float *input, float *truth);
+void update_network(network net);
+
+float train_network(network net, data d);
+float train_network_batch(network net, data d, int n);
+float train_network_sgd(network net, data d, int n);
+
matrix network_predict_data(network net, data test);
+float *network_predict(network net, float *input);
float network_accuracy(network net, data d);
+float *network_accuracies(network net, data d);
+float network_accuracy_multi(network net, data d, int n);
+void top_predictions(network net, int n, int *index);
float *get_network_output(network net);
float *get_network_output_layer(network net, int i);
float *get_network_delta_layer(network net, int i);
@@ -48,9 +73,11 @@
int get_predicted_class_network(network net);
void print_network(network net);
void visualize_network(network net);
-void save_network(network net, char *filename);
int resize_network(network net, int h, int w, int c);
+void set_batch_network(network *net, int b);
+void set_learning_network(network *net, float rate, float momentum, float decay);
int get_network_input_size(network net);
+float get_network_cost(network net);
#endif
--
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