Course
Andrew Ng Deep Learning Complete Path
A bilingual 28-chapter course from machine learning fundamentals to neural networks, CNN, RNN, and generative AI.
28 lectures28 Python examplesChinese + English
Stage 1 / 3-4 weeks
机器学习基础
Machine Learning Fundamentals
Chapter 1: 机器学习导论与线性回归ML Intro & Linear RegressionPython example includedChapter 2: 多元回归与特征工程Multivariate Regression & Feature EngineeringPython example includedChapter 3: 分类与逻辑回归Classification & Logistic RegressionPython example includedChapter 4: 正则化与过拟合Regularization & OverfittingPython example included
Stage 2 / 4-5 weeks
神经网络与进阶算法
Neural Networks & Advanced Algorithms
Chapter 5: 神经网络直觉Neural Network IntuitionPython example includedChapter 6: TensorFlow 实现与训练TensorFlow Implementation & TrainingPython example includedChapter 7: 激活函数与多分类Activation Functions & MulticlassPython example includedChapter 8: ML 实践建议与偏差方差ML Practice & Bias-VariancePython example includedChapter 9: 决策树与集成学习Decision Trees & Ensemble LearningPython example included
Stage 3 / 5-6 weeks
深度学习核心
Deep Learning Core
Chapter 10: 深度学习概论与浅层网络Deep Learning Basics & Shallow NetworksPython example includedChapter 11: 深层神经网络Deep Neural NetworksPython example includedChapter 12: 正则化与 DropoutRegularization & DropoutPython example includedChapter 13: 优化算法Optimization AlgorithmsPython example includedChapter 14: Batch NormalizationBatch NormalizationPython example included
Stage 4 / 5-6 weeks
ML 项目策略与 CNN
ML Strategy & CNN
Chapter 15: ML 项目策略ML Project StrategyPython example includedChapter 16: CNN 基础与卷积操作CNN Basics & ConvolutionPython example includedChapter 17: 经典网络与 ResNetClassic Networks & ResNetPython example includedChapter 18: 目标检测与 YOLOObject Detection & YOLOPython example includedChapter 19: 人脸识别与神经风格迁移Face Recognition & Neural Style TransferPython example included
Stage 5 / 4-5 weeks
序列模型与 Attention
Sequence Models & Attention
Stage 6 / 5-6 weeks
无监督学习与生成式 AI
Unsupervised Learning & Generative AI
Chapter 23: 聚类与异常检测Clustering & Anomaly DetectionPython example includedChapter 24: 推荐系统Recommender SystemsPython example includedChapter 25: 强化学习基础Reinforcement Learning BasicsPython example includedChapter 26: Transformer 与 LLM 预训练Transformer & LLM Pre-trainingPython example includedChapter 27: 微调、LoRA 与 RLHFFine-tuning, LoRA & RLHFPython example includedChapter 28: LLM 应用与 AgentLLM Applications & AgentsPython example included