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

0 vote120 views1 answer
Test register user mismatched passwords
Python
0 vote116 views1 answer
How to input a full array in one input in python
Python
0 vote142 views1 answer
Pandas corr get couple value
Python
4 votes127 views2 answers
Python code formatter vs code
Python
0 vote126 views1 answer
Python check variable is tuple
Python
1 vote131 views1 answer
Como deixar todas as letras maiusculas no python
Python
1 vote132 views1 answer
Number field in django
Python
0 vote133 views1 answer
Iterating over the two ranges simultaneously and saving it in database
Python
0 vote124 views1 answer
How to run python code on github
Python
1 vote165 views1 answer
Creating an apis with python and flask
Python Flask