SdA.h cpp

Yusuke Sugomori · Yusuke Sugomori · commit 94e1af8c6853 · 2013-02-13T12:56:20.000+09:00
diff --git a/cpp/SdA.cpp b/cpp/SdA.cpp
@@ -3,6 +3,7 @@
 #include "HiddenLayer.h"
 #include "dA.h"
 #include "LogisticRegression.h"
+#include "SdA.h"
 using namespace std;
 
 double uniform(double min, double max) {
@@ -28,25 +29,6 @@ double sigmoid(double x) {
 }
 
 
-
-class SdA {
-
-public:
-  int N;
-  int n_ins;
-  int *hidden_layer_sizes;
-  int n_outs;
-  int n_layers;
-  HiddenLayer **sigmoid_layers;
-  dA **dA_layers;
-  LogisticRegression *log_layer;
-  SdA(int, int, int*, int, int);
-  ~SdA();
-  void pretrain(int*, double, double, int);
-  void finetune(int*, int*, double, int);
-  void predict(int*, double*);
-};
-
 // SdA
 SdA::SdA(int size, int n_i, int *hls, int n_o, int n_l) {
   int input_size;
diff --git a/cpp/SdA.h b/cpp/SdA.h
@@ -0,0 +1,17 @@
+class SdA {
+
+public:
+  int N;
+  int n_ins;
+  int *hidden_layer_sizes;
+  int n_outs;
+  int n_layers;
+  HiddenLayer **sigmoid_layers;
+  dA **dA_layers;
+  LogisticRegression *log_layer;
+  SdA(int, int, int*, int, int);
+  ~SdA();
+  void pretrain(int*, double, double, int);
+  void finetune(int*, int*, double, int);
+  void predict(int*, double*);
+};
