20 lines
580 B
Python
20 lines
580 B
Python
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import torch.nn as nn
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class NeuralNet(nn.Module):
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def __init__(self, input_size, hidden_size, num_classes):
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super(NeuralNet, self).__init__()
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self.l1 = nn.Linear(input_size, hidden_size)
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self.l2 = nn.Linear(hidden_size, hidden_size)
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self.l3 = nn.Linear(hidden_size, num_classes)
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self.relu = nn.ReLU()
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def forward(self, x):
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out = self.l1(x)
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out = self.relu(out)
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out = self.l2(out)
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out = self.relu(out)
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out = self.l3(out)
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# no activation and no softmax at the end
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return out
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