AI Learning

暂为个人的深度学习项目

章节

#	笔记本	内容
1	ch01_python.ipynb	Python 基础与环境配置
2	ch02_ml.ipynb	机器学习基础概念
3	ch03_dl.ipynb	深度学习基础
4	ch04_evaluation.ipynb	模型评估与正则化
5	ch05_pytorch.ipynb	PyTorch 入门
6	ch06_cnn.ipynb	卷积神经网络
7	ch07_rnn.ipynb	循环神经网络
8	ch08_llm.ipynb	大语言模型与对齐技术
9	ch09_pca.ipynb	PCA 主成分分析
10	ch10_ddcgan.ipynb	非线性降维与生成模型

快速开始

cd AI-learning
python3 -m venv .venv
source .venv/bin/activate
uv pip install jupyter numpy matplotlib scikit-learn seaborn tqdm umap-learn pandas notebook -i https://pypi.tuna.tsinghua.edu.cn/simple
uv pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu
jupyter notebook notebooks/

环境要求

• Python 3.10+
• PyTorch 2.0+, torchvision
• NumPy, Matplotlib, scikit-learn, seaborn, tqdm
• umap-learn (Ch10)
• transformers (Ch8, 可选)