From d3b0fe7706cf89997e084bd5f1c673255c6ba622 Mon Sep 17 00:00:00 2001 From: Michael Liu Date: Sun, 26 Jan 2020 23:03:14 -0800 Subject: [PATCH] Update neural_networks_tutorial.py LeNet uses 5x5 convolution filters --- beginner_source/blitz/neural_networks_tutorial.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/beginner_source/blitz/neural_networks_tutorial.py b/beginner_source/blitz/neural_networks_tutorial.py index 144dd3d144f..468dc043ec0 100644 --- a/beginner_source/blitz/neural_networks_tutorial.py +++ b/beginner_source/blitz/neural_networks_tutorial.py @@ -46,12 +46,12 @@ class Net(nn.Module): def __init__(self): super(Net, self).__init__() - # 1 input image channel, 6 output channels, 3x3 square convolution + # 1 input image channel, 6 output channels, 5x5 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)