From: Francois Fleuret <francois@fleuret.org>
Date: Fri, 30 Jun 2017 08:40:19 +0000 (+0200)
Subject: Bigger DeepNet2.
X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=bff4d68157b2b760bd2786bc228e0bcaa2b287ee;p=pysvrt.git

Bigger DeepNet2.
---

diff --git a/cnn-svrt.py b/cnn-svrt.py
index d0704ff..4531fb1 100755
--- a/cnn-svrt.py
+++ b/cnn-svrt.py
@@ -248,12 +248,13 @@ class DeepNet2(nn.Module):
 
     def __init__(self):
         super(DeepNet2, self).__init__()
+        nb_channels = 512
         self.conv1 = nn.Conv2d(  1,  32, kernel_size=7, stride=4, padding=3)
-        self.conv2 = nn.Conv2d( 32, 256, kernel_size=5, padding=2)
-        self.conv3 = nn.Conv2d(256, 256, kernel_size=3, padding=1)
-        self.conv4 = nn.Conv2d(256, 256, kernel_size=3, padding=1)
-        self.conv5 = nn.Conv2d(256, 256, kernel_size=3, padding=1)
-        self.fc1 = nn.Linear(4096, 512)
+        self.conv2 = nn.Conv2d( 32, nb_channels, kernel_size=5, padding=2)
+        self.conv3 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)
+        self.conv4 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)
+        self.conv5 = nn.Conv2d(nb_channels, nb_channels, kernel_size=3, padding=1)
+        self.fc1 = nn.Linear(16 * nb_channels, 512)
         self.fc2 = nn.Linear(512, 512)
         self.fc3 = nn.Linear(512, 2)