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16 lines
467 B
16 lines
467 B
import torch.nn as nn
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import torch.nn.functional as F
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# CNN architecture definition
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class Net(nn.Module):
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def __init__(self):
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super(Net, self).__init__()
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# convolutional layer
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self.conv1 = nn.Conv2d(3, 16, 3, padding=1)
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# max pooling layer
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self.pool = nn.MaxPool2d(2, 2)
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def forward(self, x):
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# add sequence of convolutional and max pooling layers
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x = self.pool(F.relu(self.conv1(x)))
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return x
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