中文版 pytorch
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读写文件
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1 | 37 | January 14, 2021 |
图像卷积
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1 | 28 | January 14, 2021 |
填充和步幅
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1 | 23 | January 14, 2021 |
多输入多输出通道
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1 | 24 | January 14, 2021 |
池化层
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1 | 24 | January 14, 2021 |
卷积神经网络(LeNet)
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1 | 20 | January 14, 2021 |
深度卷积神经网络(AlexNet)
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1 | 36 | January 14, 2021 |
使用块的网络(VGG)
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1 | 29 | January 14, 2021 |
使用 GPU
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1 | 27 | January 14, 2021 |
网络中的网络(NiN)
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1 | 21 | January 14, 2021 |
含并行连结的网络(GoogLeNet)
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1 | 36 | January 14, 2021 |
批量归一化
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1 | 36 | January 14, 2021 |
残差网络(ResNet)
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1 | 43 | January 14, 2021 |
稠密连接网络(DenseNet)
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1 | 64 | January 14, 2021 |
图像分类数据集
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4 | 47 | February 18, 2021 |
Softmax回归的简洁实现
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2 | 27 | February 13, 2021 |
微分
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2 | 48 | February 8, 2021 |