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batchnorm1d pytorch

Impossible Impala answered on May 1, 2020 Popularity 9/10 Helpfulness 5/10

answer batchnorm1d pytorch

batchnorm1d pytorch

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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)

Popularity 9/10 Helpfulness 5/10 Language python

Source: discuss.pytorch.org

Tags: python pytorch

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