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

0 vote337 views1 answer
Graphics.py how to make a button
Python
0 vote296 views1 answer
Encoding read_csv
Python
34 votes306 views3 answers
How to install pyaudio in python
Python
1 vote330 views1 answer
Keras import optimizer adam
Python
0 vote300 views3 answers
Lcm python
Python
0 vote316 views1 answer
Librosa from array to audio
Python
0 vote342 views1 answer
Python selenium set attribute of element
Python
7 votes296 views6 answers
Tensorflow version check
Python
0 vote307 views1 answer
Joint Plot Seaborn
Python
7 votes317 views3 answers
Pandas df remove index
Python