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转自：https://zhuanlan.zhihu.com/p/31713257 阅读全文
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测试代码： import torch.nn as nnclass Model(nn.Module): def __init__(self): super(Model, self).__init__() self.conv1 = nn.Conv2d(10, 20, 4) self.conv2 = nn 阅读全文
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测试代码： import torch import torch.nn as nn m = nn.ReLU(inplace=True) input = torch.randn(10) print(input) output = m(input) print(output) print(input) 输 阅读全文
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ConvTransposed2d()其实是Conv2d()的逆过程，其参数是一样的 Conv2d(): output = (input+2*Padding-kernelSize) / stride + 1(暂时不考虑outputPadding 注意：outputPadding只是在一边Padding 阅读全文
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A guide to convlution arithmetic for deep learning-Transposed Convolution Transposed convolutions – also called fractionally strided convolutions or d 阅读全文