|
Softmax回归
|
|
79
|
52902
|
January 11, 2026
|
|
Colab安装d2l报错
|
|
0
|
74
|
January 6, 2026
|
|
数据预处理
|
|
187
|
66433
|
December 31, 2025
|
|
数据操作
|
|
69
|
63284
|
December 31, 2025
|
|
自动求导
|
|
91
|
49204
|
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
|
|
0
|
1023
|
December 28, 2025
|
|
微分
|
|
29
|
12945
|
December 27, 2025
|
|
语言模型和数据集
|
|
38
|
14572
|
December 24, 2025
|
|
Gaussian Process Inference
|
|
3
|
1695
|
December 23, 2025
|
|
Multilayer Perceptrons
|
|
14
|
7085
|
December 16, 2025
|
|
The Dataset for Pretraining BERT
|
|
7
|
2985
|
December 16, 2025
|
|
模型选择、欠拟合和过拟合
|
|
86
|
25396
|
December 15, 2025
|
|
汇聚层
|
|
28
|
10192
|
December 15, 2025
|
|
锚框
|
|
63
|
18938
|
December 13, 2025
|
|
束搜索
|
|
21
|
8875
|
December 12, 2025
|
|
为什么在 d2l 的 torch 包中没有 train_ch3 这个函数？
|
|
6
|
2365
|
December 8, 2025
|
|
Softmax回归的简洁实现
|
|
120
|
42882
|
December 7, 2025
|
|
Softmax回归的从零实现
|
|
155
|
55317
|
December 5, 2025
|
|
从全连接层到卷积
|
|
42
|
19474
|
December 4, 2025
|
|
多层感知机
|
|
34
|
21458
|
December 3, 2025
|
|
目标检测和边界框
|
|
14
|
7245
|
December 3, 2025
|
|
卷积神经网络（LeNet）
|
|
102
|
41162
|
December 2, 2025
|
|
数值稳定性和模型初始化
|
|
17
|
9538
|
December 2, 2025
|
|
参数管理
|
|
26
|
15536
|
November 30, 2025
|
|
风格迁移
|
|
11
|
4942
|
November 27, 2025
|
|
线性代数
|
|
88
|
45295
|
July 17, 2025
|
|
Language Models
|
|
16
|
5104
|
August 6, 2024
|
|
Object-Oriented Design for Implementation
|
|
15
|
4997
|
November 25, 2025
|
|
Preface
|
|
25
|
10979
|
November 22, 2025
|
|
概率
|
|
15
|
5604
|
November 21, 2025
|
