中文版 pytorch
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
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About the pytorch category
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1 | 81 | January 14, 2021 |
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读写文件
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4 | 284 | July 31, 2021 |
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稠密连接网络（DenseNet）
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5 | 298 | July 30, 2021 |
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数据操作
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13 | 998 | July 29, 2021 |
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Softmax回归的简洁实现
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15 | 481 | July 24, 2021 |
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锚框
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9 | 95 | July 29, 2021 |
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优化和深度学习
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1 | 11 | July 29, 2021 |
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随机梯度下降
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1 | 10 | July 29, 2021 |
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梯度下降
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1 | 5 | July 29, 2021 |
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循环神经网络的从零开始实现
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4 | 181 | July 28, 2021 |
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凸性
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1 | 17 | July 27, 2021 |
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文本预处理
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3 | 169 | July 27, 2021 |
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Softmax回归的从零实现
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23 | 594 | July 27, 2021 |
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多输入多输出通道
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2 | 237 | July 27, 2021 |
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语言模型和数据集
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2 | 153 | June 7, 2021 |
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序列模型
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2 | 154 | July 26, 2021 |
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微分
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27 | 851 | July 25, 2021 |
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残差网络（ResNet）
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15 | 589 | July 24, 2021 |
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实战 Kaggle 比赛：狗的品种识别（ImageNet Dogs）
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4 | 264 | July 23, 2021 |
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线性代数
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22 | 1053 | July 22, 2021 |
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数值稳定性和模型初始化
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3 | 149 | July 22, 2021 |
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使用 GPU
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3 | 261 | July 22, 2021 |
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图像增广
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1 | 108 | May 10, 2021 |
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线性回归的简洁实现
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9 | 503 | July 21, 2021 |
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层和块
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10 | 274 | July 20, 2021 |
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实战 Kaggle 比赛：预测房价
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8 | 448 | July 20, 2021 |
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使用块的网络（VGG）
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4 | 183 | July 20, 2021 |
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区域卷积神经网络（R-CNN）系列
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2 | 75 | July 19, 2021 |
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全卷积网络（FCN）
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2 | 63 | July 18, 2021 |
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目标检测和边界框
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1 | 75 | May 18, 2021 |