Batchnorm1d pytorch

class network(nn.Module):
    def __init__(self):
        super(network, self).__init__()
        self.linear1 = nn.Linear(in_features=40, out_features=320)
        self.bn1 = nn.BatchNorm1d(num_features=320)
        self.linear2 = nn.Linear(in_features=320, out_features=2)

    def forward(self, input):  # Input is a 1D tensor
        y = F.relu(self.bn1(self.linear1(input)))
        y = F.softmax(self.linear2(y), dim=1)
        return y
    
model = network()
x = torch.randn(10, 40)
output = model(x)

Source: discuss.pytorch.org

Similar codes

12 votes211 views5 answers
Python async await
Python
10 votes167 views6 answers
Merge two lists python
Python
0 vote174 views1 answer
Check if entry is NaT]
Python
0 vote162 views1 answer
Response object has no code
Python
21 votes162 views5 answers
No module named cv2
Python
0 vote357 views1 answer
Modules django
Python
0 vote175 views1 answer
Pairwise function python
Python
0 vote176 views1 answer
Not en python
Python
5 votes172 views2 answers
How to make a calculator
Python
2 votes175 views1 answer
Boto signed url
Python