Topic | Replies | Views | Activity | |
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Layers and Modules |
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23 | 6304 | August 9, 2025 |
序列模型 |
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36 | 12248 | August 6, 2025 |
d2l包就是个灾难 |
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1 | 475 | August 6, 2025 |
深度卷积神经网络(AlexNet) |
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5 | 3077 | August 5, 2025 |
chapter_linear-networks 中多个章节缺少,相比较与英文源文件 |
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0 | 106 | August 4, 2025 |
网络中的网络(NiN) |
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49 | 18540 | August 3, 2025 |
从全连接层到卷积 |
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41 | 17668 | August 3, 2025 |
本书网页版代码是不是默认选择pytorch比较好呢? |
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0 | 204 | August 2, 2025 |
Calculus |
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44 | 11734 | August 2, 2025 |
Softmax回归的简洁实现 |
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116 | 39144 | July 31, 2025 |
使用块的网络(VGG) |
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58 | 20829 | July 28, 2025 |
线性回归的从零开始实现 |
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4 | 3801 | July 27, 2025 |
Language Models |
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17 | 4389 | July 24, 2025 |
实战 Kaggle 比赛:狗的品种识别(ImageNet Dogs) |
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14 | 4993 | July 23, 2025 |
2025稳定机场节点梯子推荐丨科学上网魔法手机电脑梯子 |
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0 | 6152 | December 15, 2024 |
引言 |
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46 | 36964 | July 21, 2025 |
注意力提示 |
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6 | 7855 | July 20, 2025 |
深度卷积神经网络(AlexNet) |
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50 | 22034 | July 20, 2025 |
Linear Regression Implementation from Scratch |
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70 | 18877 | July 20, 2025 |
AdaGrad算法 |
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4 | 1335 | July 19, 2025 |
线性代数 |
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88 | 41605 | July 17, 2025 |
线性回归的从零开始实现 |
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157 | 63581 | July 16, 2025 |
自注意力和位置编码 |
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21 | 6819 | July 15, 2025 |
多头注意力 |
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60 | 20778 | July 11, 2025 |
Bahdanau 注意力 |
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36 | 9705 | July 11, 2025 |
Synthetic Regression Data |
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14 | 3501 | July 11, 2025 |
线性代数 |
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7 | 3833 | July 11, 2025 |
Installation |
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49 | 24455 | July 10, 2025 |
Transformer |
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49 | 21778 | July 9, 2025 |
批量规范化 |
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47 | 12639 | July 8, 2025 |