Nn.dropout

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

Nn.dropout

>>> m = nn.Dropout(p=0.2)
>>> input = torch.randn(20, 16)
>>> output = m(input)

Source: pytorch.org

Similar codes

28 votes151 views3 answers
How to know if a string is a number python
Python
3 votes148 views2 answers
Char to binary python
Python
0 vote154 views1 answer
Dtype cannot be bool python
Python
2 votes154 views2 answers
Numpy array_equal
Python
1 vote141 views1 answer
Get website content with beautifulsoup
Python
-1 vote154 views1 answer
Anaconda 3 geopandas
Python
0 vote137 views1 answer
Use a library in python
Python
0 vote150 views1 answer
Python enumerate list with comprehension
Python
0 vote147 views1 answer
Python string replace letters with numbers
Python
0 vote146 views1 answer
Python numpy find local minima
Python