From f7a17f82eb43de864a4f980f235055da9685eef8 Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Wed, 29 Jan 2014 00:28:42 +0000
Subject: [PATCH] Convolutional layers working w/ matrices
---
src/connected_layer.h | 31 ++++++++++++++++++-------------
1 files changed, 18 insertions(+), 13 deletions(-)
diff --git a/src/connected_layer.h b/src/connected_layer.h
index eaea306..ce0181d 100644
--- a/src/connected_layer.h
+++ b/src/connected_layer.h
@@ -6,24 +6,29 @@
typedef struct{
int inputs;
int outputs;
- double *weights;
- double *biases;
- double *weight_updates;
- double *bias_updates;
- double *output;
+ float *weights;
+ float *biases;
- double (* activation)();
- double (* gradient)();
+ float *weight_updates;
+ float *bias_updates;
+
+ float *weight_momentum;
+ float *bias_momentum;
+
+ float *output;
+ float *delta;
+
+ ACTIVATION activation;
+
} connected_layer;
-connected_layer *make_connected_layer(int inputs, int outputs, ACTIVATION activator);
+connected_layer *make_connected_layer(int inputs, int outputs, ACTIVATION activation);
-void run_connected_layer(double *input, connected_layer layer);
-void learn_connected_layer(double *input, connected_layer layer);
-void update_connected_layer(connected_layer layer, double step);
+void forward_connected_layer(connected_layer layer, float *input);
+void backward_connected_layer(connected_layer layer, float *input, float *delta);
+void learn_connected_layer(connected_layer layer, float *input);
+void update_connected_layer(connected_layer layer, float step, float momentum, float decay);
-void backpropagate_connected_layer(double *input, connected_layer layer);
-void calculate_update_connected_layer(double *input, connected_layer layer);
#endif
--
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