torch cnn

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showing results for - "torch cnn"
Lily
16 Mar 2018
1train_loader = DataLoader(train_data, batch_size=10,shuffle=True)
2test_loader = DataLoader(test_data, batch_size=10, shuffle=False)
3class ConvolutionalNetwork(nn.Module):
4    def __init__(self):
5        super().__init__()
6        self.conv1 = nn.Conv2d(1,6,3,1)
7        self.conv2 = nn.Conv2d(6,16, 3, 1)
8        self.fc1 = nn.Linear(5*5*16, 100)
9        self.fc2 = nn.Linear(100, 10)
10
11    def forward(self, X):
12        X = F.relu(self.conv1(X))
13        X = F.max_pool2d(X, 2, 2)
14        X = F.relu(self.conv2(X))
15        X = F.max_pool2d(X, 2, 2)
16        X = X.view(-1, 5*5*16)
17        X = F.relu(self.fc1(X))
18        X = self.fc2(X)
19        return F.log_softmax(X,dim=1)
20    
21torch.manual_seed(101)
22model = ConvolutionalNetwork()
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