Change kernel to 5x5 in 2nd Conv2d layer in model init

Author: kiersten-stokes

beginner_source/introyt/introyt1_tutorial.py

@@ -179,7 +179,7 @@ def __init__(self):
         # 1 input image channel (black & white), 6 output channels, 5x5 square convolution
         # kernel
         self.conv1 = nn.Conv2d(1, 6, 5)
-        self.conv2 = nn.Conv2d(6, 16, 3)
+        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.fc2 = nn.Linear(120, 84)