Kernel size 5*5 not 3*3

Author: javadr

beginner_source/blitz/neural_networks_tutorial.py

@@ -48,10 +48,10 @@ def __init__(self):
         super(Net, self).__init__()
         # 1 input image channel, 6 output channels, 3x3 square convolution
         # kernel
-        self.conv1 = nn.Conv2d(1, 6, 3)
-        self.conv2 = nn.Conv2d(6, 16, 3)
+        self.conv1 = nn.Conv2d(1, 6, 5)
+        self.conv2 = nn.Conv2d(6, 16, 5)
         # an affine operation: y = Wx + b
-        self.fc1 = nn.Linear(16 * 6 * 6, 120)  # 6*6 from image dimension 
+        self.fc1 = nn.Linear(16 * 5 * 5, 120)  # 5*5 from image dimension 
         self.fc2 = nn.Linear(120, 84)
         self.fc3 = nn.Linear(84, 10)