From ed930338f7936630705c665cad9dd6d562344efc Mon Sep 17 00:00:00 2001
From: jvech <jmvalenciae@unal.edu.co>
Date: Wed, 30 Aug 2023 20:59:20 -0500
Subject: add: network read and write done json_read reactored

---
 src/nn.h | 18 +++++++-----------
 1 file changed, 7 insertions(+), 11 deletions(-)

(limited to 'src/nn.h')

diff --git a/src/nn.h b/src/nn.h
index 9005364..5402ffa 100644
--- a/src/nn.h
+++ b/src/nn.h
@@ -1,14 +1,8 @@
 #ifndef __NN__
 #define __NN__
 
-#include <stdlib.h>
-#include <assert.h>
-#include <stdio.h>
-#include <stdint.h>
-#include <string.h>
-#include <math.h>
-#include <unistd.h>
-#include <openblas/cblas.h>
+#include <stdbool.h>
+#include <stddef.h>
 
 struct Cost {
     double (*func)(double labels[], double net_out[], size_t shape);
@@ -26,7 +20,9 @@ typedef struct Layer {
     size_t neurons, input_nodes;
 } Layer;
 
-void nn_network_init_weights(Layer *network, size_t nmemb, size_t input_cols);
+void nn_network_write_weights(char *filepath, Layer *network, size_t network_size);
+void nn_network_read_weights(char *filepath, Layer *network, size_t network_size);
+void nn_network_init_weights(Layer *network, size_t nmemb, size_t input_cols, bool fill_random);
 void nn_network_free_weights(Layer *network, size_t nmemb);
 
 void nn_network_predict(
@@ -77,10 +73,10 @@ void nn_layer_backward(
 
 void nn_layer_out_delta(
         double *delta, double *dcost_out, double *zout, size_t cols,
-        double (*activation_derivative)(double));//TODO
+        double (*activation_derivative)(double));
 
 void nn_layer_hidden_delta(
         double *delta, double *delta_next, double *zout,
         double *weights_next, size_t weights_next_shape[2],
-        double (*activation_derivative)(double));//TODO
+        double (*activation_derivative)(double));
 #endif
-- 
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