视频选集 Lecture 1 - Intro and Word Vectors Lecture 2 - Word Vectors and Language Models Lecture 3 - Backpropagation, Neural Network Lecture 4 - Dependency Parsing Lecture 5 - Recurrent Neural Networks Lecture 6 - Sequence to Sequence Models Lecture 7 - Attention, Final Projects and LLM Intro Lecture 8 - Self-Attention and Transformers Lecture 9 - Pretraining Lecture 11 - Natural Language Generation Lecture 10 - Post-training by Archit Sharma Lecture 11 - Benchmarking by Yann Dubois Lecture 12 - Neural Network by Shikhar Murty Lecture 13 - Interfaces by Chaofei Fan Lecture 14 - Reasoning and Agents by Shikhar Murty Lecture 15 - After DPO by Nathan Lambert Lecture 16 - ConvNets Lecture 18 - NLP, Linguistics, Philosophy Lecture 16 - Multimodal Deep Learning, Douwe Kiela Model Interpretability & Editing, Been Kim Python Tutorial, Manasi Sharma PyTorch Tutorial, Drew Kaul Hugging Face Tutorial, Eric Frankel
PyTorch深度学习课堂的视频 （中英字幕完结）斯坦福CS224N《深度学习自然语言处理》全集课程！附课件代码 | 2025最新 （中英字幕完结）斯坦福CS336：从头开始构建大模型 | 2025年最新
