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语言模型和数据集
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39
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14726
|
January 20, 2026
|
|
序列模型
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37
|
13502
|
January 18, 2026
|
|
数据预处理
|
|
10
|
7122
|
January 18, 2026
|
|
层和块
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|
46
|
16909
|
January 17, 2026
|
|
Gaussian Process Priors
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|
2
|
1356
|
January 15, 2026
|
|
Object-Oriented Design for Implementation
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|
2
|
2225
|
January 13, 2026
|
|
Softmax回归
|
|
79
|
53478
|
January 11, 2026
|
|
Colab安装d2l报错
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|
0
|
143
|
January 6, 2026
|
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数据预处理
|
|
187
|
66834
|
December 31, 2025
|
|
数据操作
|
|
69
|
63634
|
December 31, 2025
|
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自动求导
|
|
91
|
49508
|
December 30, 2025
|
|
2026外网梯子推荐︱最佳翻墙机场︱科学上网VPN加速器节点
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0
|
1713
|
December 28, 2025
|
|
微分
|
|
29
|
13063
|
December 27, 2025
|
|
Gaussian Process Inference
|
|
3
|
1737
|
December 23, 2025
|
|
Multilayer Perceptrons
|
|
14
|
7155
|
December 16, 2025
|
|
The Dataset for Pretraining BERT
|
|
7
|
3028
|
December 16, 2025
|
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模型选择、欠拟合和过拟合
|
|
86
|
25579
|
December 15, 2025
|
|
汇聚层
|
|
28
|
10252
|
December 15, 2025
|
|
锚框
|
|
63
|
19046
|
December 13, 2025
|
|
束搜索
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|
21
|
9015
|
December 12, 2025
|
|
为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？
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|
6
|
2434
|
December 8, 2025
|
|
Softmax回归的简洁实现
|
|
120
|
43078
|
December 7, 2025
|
|
Softmax回归的从零实现
|
|
155
|
55592
|
December 5, 2025
|
|
从全连接层到卷积
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|
42
|
19580
|
December 4, 2025
|
|
多层感知机
|
|
34
|
21583
|
December 3, 2025
|
|
目标检测和边界框
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|
14
|
7295
|
December 3, 2025
|
|
卷积神经网络（LeNet）
|
|
102
|
41364
|
December 2, 2025
|
|
数值稳定性和模型初始化
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|
17
|
9580
|
December 2, 2025
|
|
参数管理
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|
26
|
15621
|
November 30, 2025
|
|
风格迁移
|
|
11
|
4995
|
November 27, 2025
|
