2025-05
- 2025-05-06 第一章 引言
2025-04
- 2025-04-28 2025 Week 17
- 2025-04-23 Lecture 2 - Deep Sequence Modeling
- 2025-04-22 Lecture 1 - Intro to Deep Learning
- 2025-04-21 makemore - part 3
- 2025-04-21 2025 Week 16 (期中总结)
- 2025-04-17 makemore - part 2
- 2025-04-14 2025 Week 15
- 2025-04-08 makemore - part 1
2025-03
- 2025-03-29 基于 MLP 的 pipeline 初体验
- 2025-03-26 pytorch 项目
- 2025-03-26 8.3 语言模型和数据集
- 2025-03-26 6.5 汇聚层（池化层）
- 2025-03-25 8.1 序列模型
- 2025-03-15 知音难觅
- 2025-03-15 6.4 多输入输出通道
- 2025-03-15 6.3 填充和步幅
- 2025-03-15 6.1 从全连接层到卷积
- 2025-03-11 6.2 图像卷积
- 2025-03-11 5.2 参数管理
- 2025-03-11 5.1 层和块
- 2025-03-11 4.9 环境和分布偏移
- 2025-03-11 4.8 数值稳定性和模型初始化
- 2025-03-11 4.7 前向传播、反向传播和计算图
- 2025-03-11 4.6 暂退法 （Dropout）
- 2025-03-11 4.5 权重衰减
- 2025-03-11 4.4 模型选择、欠拟合与过拟合
- 2025-03-06 4.1 多层感知机
- 2025-03-05 3.4 softmax 回归
- 2025-03-05 3.3 线性回归的简洁实现
- 2025-03-05 3.2 线性回归的从零开始实现
- 2025-03-04 3.1 线性回归
- 2025-03-04 Week 6 - Language
2025-02
- 2025-02-27 Week 5 - Neural Networks
- 2025-02-25 Week 4 - Learning
- 2025-02-24 Week 3 - Optimization
- 2025-02-22 大一上学期总结
- 2025-02-22 Lec 4 - References, Recursion, and Lists
- 2025-02-22 Lab 2
- 2025-02-22 Lec 3 - Testing
- 2025-02-22 Lec 2 - Defining and Using Classes
- 2025-02-22 Lec 1 - Hello World Java
- 2025-02-21 Deepseek的爆火
- 2025-02-21 Week 2 - Uncertainty
- 2025-02-08 Week 1 - Knowledge
- 2025-02-07 Week 0 - Search
- 2025-02-06 Project 0:2048
- 2025-02-06 CS61A
2024-12
- 2024-12-25 小土堆 Pytorch
