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[JH/Weight Histogram Visualization] MNIST `nn.module`에서 weights 추출하기; Colab - 5 days DeepBaksuVision#29 +
# Conflicts: # dataloader/data_loader.py # train.py
This reverts commit 142794d.
ssaru
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Nov 19, 2019
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코드 리뷰 완료하였습니다.
ResNet은 어디서 코드를 가져오셨나요?
| @@ -21,4 +22,4 @@ def data_loader(dataset="CIFAR-10", batch_size = 16): | |||
| test_loader = torch.utils.data.DataLoader(test_set, batch_size=batch_size, shuffle=False, num_workers=2) | |||
| classes = ("0", "1", "2", "3", "4", "5", "6", "7", "8", "9") | |||
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CIFAR-10인데 classes = ("0", "1", "2", "3", "4", "5", "6", "7", "8", "9")은 무엇일까요?
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| def conv3x3(in_channels, out_channels, stride=1): | ||
| return nn.Conv2d(in_channels, out_channels, kernel_size=3, stride=stride, | ||
| padding=1, bias=False) |
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그냥 호불호인데 이렇게까지 분리 안해도 될 거 같긴한데.. ㅎㅎ
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