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deep learning lecture

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  1. Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 14 - Reasoning and Agents by Shikhar MurtyStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  2. Stanford CS224N: NLP w/ DL| Spring 2024 | Lecture 13 - Brain-Computer Interfaces, Chaofei FanStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  3. Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 12 - Efficient Training, Shikhar MurtyStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  4. Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 11 - Benchmarking by Yann DuboisStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  5. Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 10 - Post-training by Archit SharmaStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  6. Stanford CS224N: NLP w/ DL | Spring 2024 | Lecture 7 - Attention, Final Projects and LLM IntroStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  7. Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 6 - Sequence to Sequence ModelsStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  8. Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 5 - Recurrent Neural NetworksStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  9. Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 4 - Dependency ParsingStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  10. Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 3 - Backpropagation, Neural NetworkStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  11. Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 2 - Word Vectors and Language ModelsStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  12. Stanford CS224N: NLP with Deep Learning | Spring 2024 | Lecture 1 - Intro and Word VectorsStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  13. Applied Deep Learning 2023 - Lecture 13 - Epilogue - Outlook, Feedback, and GoodbyeApplied Deep Learning 2023 - TU WienNotes
  14. Applied Deep Learning 2023 - Lecture 12 - Explainable AIApplied Deep Learning 2023 - TU WienNotes
  15. Applied Deep Learning 2023 - Lecture 11 - Graph Neural NetworksApplied Deep Learning 2023 - TU WienNotes
  16. Applied Deep Learning 2023 - Lecture 10 - Serving, Optimizing, and Practical AspectsApplied Deep Learning 2023 - TU WienNotes
  17. Applied Deep Learning 2023 - Lecture 9 - Preprocessing, Augmentation, Regularization, VisualizationApplied Deep Learning 2023 - TU WienNotes
  18. Applied Deep Learning 2023 - Lecture 8 - TransformersApplied Deep Learning 2023 - TU WienNotes
  19. Applied Deep Learning 2023 - Lecture 7 - Autoencoders and Generative Adversarial NetworksApplied Deep Learning 2023 - TU WienNotes
  20. Applied Deep Learning 2023 - Lecture 6 - Deep Reinforcement LearningApplied Deep Learning 2023 - TU WienNotes
  21. Applied Deep Learning 2023 - Lecture 5 - Libraries and Practical AspectsApplied Deep Learning 2023 - TU WienNotes
  22. Applied Deep Learning 2023 - Lecture 4 - Recurrent Neural NetworksApplied Deep Learning 2023 - TU WienNotes
  23. Applied Deep Learning 2023 - Lecture 3 - Convolutional Neural Networks and Visual ComputingApplied Deep Learning 2023 - TU WienNotes
  24. Applied Deep Learning 2023 - Lecture 2 - Neural Networks, Optimization and BackpropagationApplied Deep Learning 2023 - TU WienNotes
  25. Stanford CS224N NLP with Deep Learning | 2023 | Lecture 14 - Insights between NLP and LinguisticsStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  26. Stanford CS224N NLP with Deep Learning | 2023 | Lecture 11 - Natural Language GenerationStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  27. Stanford CS224N NLP with Deep Learning | 2023 | Lecture 11 - Natural Language GenerationStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  28. Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human FeedbackStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  29. Stanford CS224N NLP with Deep Learning | 2023 | Lecture 9 - PretrainingStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  30. Stanford CS224N NLP with Deep Learning | 2023 | Lecture 9 - PretrainingStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  31. Stanford CS224N NLP with Deep Learning | 2023 | Lecture 8 - Self-Attention and TransformersStanford CS224N Natural Language Processing with Deep Learning I Spring 2024 I Professor Christopher ManningNotes
  32. Stanford CS224N NLP with Deep Learning | 2023 | Lecture 8 - Self-Attention and TransformersStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  33. Applied Deep Learning 2023 - Lecture 1 - Introduction to Deep LearningApplied Deep Learning 2023 - TU WienNotes
  34. Applied Deep Learning 2023 - Lecture 0 - Preliminary InformationApplied Deep Learning 2023 - TU WienNotes
  35. Group Equivariant Deep Learning - Lecture 3.1: Motivation for SE(3) equivariant graph NNsGroup Equivariant Deep Learning (UvA - 2022)Notes
  36. Group Equivariant Deep Learning - Lecture 2.7: Derivation of Harmonic Networks from Regular G-ConvsGroup Equivariant Deep Learning (UvA - 2022)Notes
  37. Group Equivariant Deep Learning - Lecture 2.6: Activation Functions for Steerable G-CNNsGroup Equivariant Deep Learning (UvA - 2022)Notes
  38. Group Equivariant Deep Learning - Lecture 2.5: Steerable group convolutionsGroup Equivariant Deep Learning (UvA - 2022)Notes
  39. Group Equivariant Deep Learning - Lecture 2.4: Group Theory (Induced representation, feature fields)Group Equivariant Deep Learning (UvA - 2022)Notes
  40. Group Equivariant Deep Learning - Lecture 2.3: Group Theory (Irreducible representations, Fourier)Group Equivariant Deep Learning (UvA - 2022)Notes
  41. Group Equivariant Deep Learning - Lecture 2.2: Revisiting Regular G-Convs with Steerable KernelsGroup Equivariant Deep Learning (UvA - 2022)Notes
  42. Group Equivariant Deep Learning - Lecture 2.1: Steerable kernels/basis functionsGroup Equivariant Deep Learning (UvA - 2022)Notes
  43. Group Equivariant Deep Learning - Lecture 1.1: IntroductionGroup Equivariant Deep Learning (UvA - 2022)Notes
  44. Group Equivariant Deep Learning - Lecture 1.2: Group theory (product, inverse, representations)Group Equivariant Deep Learning (UvA - 2022)Notes
  45. Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 15 - Add Knowledge to Language ModelsStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  46. Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 13 - Coreference ResolutionStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  47. Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 12 - Question AnsweringStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  48. Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 7 - Translation, Seq2Seq, AttentionStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  49. Stanford CS224N NLP with Deep Learning | Winter 2021 | Lecture 6 - Simple and LSTM RNNsStanford CS224N: Natural Language Processing with Deep Learning | 2023Notes
  50. Stanford CS224N - NLP w/ DL | Winter 2021 | Lecture 5 - Recurrent Neural networks (RNNs)Stanford CS224N: Natural Language Processing with Deep Learning | 2023Notes

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