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pytorch paddlepaddle tensorflow 网站反馈 mxnet 其它
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| 欢迎大家在中文版目录下使用中文讨论 |
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8 | 9655 | February 27, 2024 |
| 锚框 |
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62 | 15551 | January 21, 2025 |
| 为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？ |
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2 | 111 | January 20, 2025 |
| 自定义层 |
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38 | 9818 | January 20, 2025 |
| [反馈][笔误] 书中发现的问题 |
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1 | 416 | January 20, 2025 |
| 多层感知机的从零实现 |
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86 | 26095 | January 20, 2025 |
| 随机梯度下降 |
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5 | 1784 | January 19, 2025 |
| 梯度下降 |
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7 | 2642 | January 19, 2025 |
| 语言模型和数据集 |
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32 | 9804 | January 19, 2025 |
| 文本预处理 |
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42 | 8695 | January 19, 2025 |
| 查阅文档 |
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2 | 1559 | January 18, 2025 |
| Softmax回归的从零实现 |
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150 | 42884 | January 18, 2025 |
| 关于#@save的使用 |
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9 | 2911 | January 18, 2025 |
| 序列模型 |
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32 | 9920 | January 17, 2025 |
| 注意力汇聚：Nadaraya-Watson 核回归 |
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51 | 13952 | January 17, 2025 |
| 卷积神经网络（LeNet） |
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97 | 32555 | January 16, 2025 |
| 图像分类数据集 |
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71 | 21159 | January 16, 2025 |
| 自注意力和位置编码 |
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16 | 5239 | January 16, 2025 |
| 多头注意力 |
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54 | 16455 | January 16, 2025 |
| 稠密连接网络（DenseNet） |
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24 | 9931 | January 15, 2025 |
| 注意力评分函数 |
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2 | 1339 | January 14, 2025 |
| 注意力评分函数 |
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28 | 6959 | January 14, 2025 |
| 使用 GPU |
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41 | 14256 | January 13, 2025 |
| 延后初始化 |
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13 | 6787 | January 13, 2025 |
| 层和块 |
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43 | 13222 | January 13, 2025 |
| 环境和分布偏移 |
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17 | 6416 | January 12, 2025 |
| 权重衰减 |
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56 | 15283 | January 11, 2025 |
| Softmax回归的简洁实现 |
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111 | 33397 | January 11, 2025 |
| 残差网络（ResNet） |
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74 | 30513 | January 11, 2025 |
| 多输入多输出通道 |
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34 | 10993 | January 11, 2025 |