From 118bdd6f624a81c7b43689943485f8d70cbd944e Mon Sep 17 00:00:00 2001
From: Joseph Redmon <pjreddie@gmail.com>
Date: Fri, 14 Feb 2014 18:26:31 +0000
Subject: [PATCH] Training on VOC
---
src/connected_layer.c | 30 +++++++++++++++++++++++++++---
1 files changed, 27 insertions(+), 3 deletions(-)
diff --git a/src/connected_layer.c b/src/connected_layer.c
index 5f6631c..07fad69 100644
--- a/src/connected_layer.c
+++ b/src/connected_layer.c
@@ -19,23 +19,46 @@
layer->delta = calloc(outputs, sizeof(float*));
layer->weight_updates = calloc(inputs*outputs, sizeof(float));
+ layer->weight_adapt = calloc(inputs*outputs, sizeof(float));
layer->weight_momentum = calloc(inputs*outputs, sizeof(float));
layer->weights = calloc(inputs*outputs, sizeof(float));
- float scale = 2./inputs;
+ float scale = 1./inputs;
for(i = 0; i < inputs*outputs; ++i)
- layer->weights[i] = rand_normal()*scale;
+ layer->weights[i] = scale*(rand_uniform());
layer->bias_updates = calloc(outputs, sizeof(float));
+ layer->bias_adapt = calloc(outputs, sizeof(float));
layer->bias_momentum = calloc(outputs, sizeof(float));
layer->biases = calloc(outputs, sizeof(float));
for(i = 0; i < outputs; ++i)
//layer->biases[i] = rand_normal()*scale + scale;
- layer->biases[i] = 0;
+ layer->biases[i] = 1;
layer->activation = activation;
return layer;
}
+/*
+void update_connected_layer(connected_layer layer, float step, float momentum, float decay)
+{
+ int i;
+ for(i = 0; i < layer.outputs; ++i){
+ float delta = layer.bias_updates[i];
+ layer.bias_adapt[i] += delta*delta;
+ layer.bias_momentum[i] = step/sqrt(layer.bias_adapt[i])*(layer.bias_updates[i]) + momentum*layer.bias_momentum[i];
+ layer.biases[i] += layer.bias_momentum[i];
+ }
+ for(i = 0; i < layer.outputs*layer.inputs; ++i){
+ float delta = layer.weight_updates[i];
+ layer.weight_adapt[i] += delta*delta;
+ layer.weight_momentum[i] = step/sqrt(layer.weight_adapt[i])*(layer.weight_updates[i] - decay*layer.weights[i]) + momentum*layer.weight_momentum[i];
+ layer.weights[i] += layer.weight_momentum[i];
+ }
+ memset(layer.bias_updates, 0, layer.outputs*sizeof(float));
+ memset(layer.weight_updates, 0, layer.outputs*layer.inputs*sizeof(float));
+}
+*/
+
void update_connected_layer(connected_layer layer, float step, float momentum, float decay)
{
int i;
@@ -65,6 +88,7 @@
for(i = 0; i < layer.outputs; ++i){
layer.output[i] = activate(layer.output[i], layer.activation);
}
+ //for(i = 0; i < layer.outputs; ++i) if(i%(layer.outputs/10+1)==0) printf("%f, ", layer.output[i]); printf("\n");
}
void learn_connected_layer(connected_layer layer, float *input)
--
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