محتوى الدورة
Stanford CS224N: NLP with Deep Learning | Winter 2021 | Lecture 1 - Intro & Word Vectors Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 2 - Neural Classifiers Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 3 - Backprop and Neural Networks Stanford CS224N - NLP w/ DL | Winter 2021 | Lecture 4 - Syntactic Structure and Dependency Parsing Stanford CS224N - NLP w/ DL | Winter 2021 | Lecture 5 - Recurrent Neural networks (RNNs) Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 6 - Simple and LSTM RNNs Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 7 - Translation, Seq2Seq, Attention Stanford CS224N NLP with Deep Learning | 2023 | Lecture 8 - Self-Attention and Transformers Stanford CS224N NLP with Deep Learning | 2023 | Lecture 9 - Pretraining Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback Stanford CS224N NLP with Deep Learning | 2023 | Lecture 11 - Natural Language Generation Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 12 - Question Answering Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 13 - Coreference Resolution Stanford CS224N NLP with Deep Learning | 2023 | Lecture 14 - Insights between NLP and Linguistics Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 15 - Add Knowledge to Language Models Stanford CS224N NLP with Deep Learning | 2023 | Lecture 15 - Code Generation Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 17 - Model Analysis and Explanation Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 18 - Future of NLP + Deep Learning Stanford CS224N NLP with Deep Learning | 2023 | Python Tutorial, Manasi Sharma Stanford CS224N NLP with Deep Learning | 2023 | PyTorch Tutorial, Drew Kaul Stanford CS224N NLP with Deep Learning | 2023 | Hugging Face Tutorial, Eric Frankel Stanford CS224N NLP with Deep Learning | 2023 | Lecture 16 - Multimodal Deep Learning, Douwe Kiela Stanford CS224N NLP with Deep Learning | 2023 | Lec. 19 - Model Interpretability & Editing, Been Kim

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