MIT 6.S191: dərin öyrənməyə giriş

MIT-nin hər il yenilənən dərin öyrənmə kursu: neyron şəbəkələrdən generativ AI-yə qədər.

Alexander Amini
73h 21m
90 dərs
English

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Bu kurs tamamilə pulsuzdur — bütün dərslər açıqdır.

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Bütün 90 dərs
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Kurs haqqında

Neyron şəbəkələrin əsasları, ardıcıllıq modelləri, kompüter görməsi, generativ modellər və gücləndirməli öyrənmə qısa və sıx mühazirələrlə izah olunur. Əsas riyaziyyat və Python biliyi olanlar üçündür. Mühazirələr ingilis dilindədir.

Kurikulum

90 dərs · 73h 21m

Rəylər

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MIT 6.S191: dərin öyrənməyə giriş

Kurs haqqında

Kurikulum

1MIT Introduction to Deep Learning | 6.S19156 min56 min

2MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention58 min58 min

3MIT 6.S191: Convolutional Neural Networks57 min57 min

4MIT 6.S191: Deep Generative Modeling50 min50 min

5MIT 6.S191: Reinforcement Learning59 min59 min

6MIT 6.S191: Language Models and New Frontiers56 min56 min

7MIT 6.S191: The Three Laws of AI52 min52 min

8MIT 6.S191: AI for Science59 min59 min

9MIT 6.S191: Secrets of Massively Parallel Training53 min53 min

10MIT Introduction to Deep Learning (2025) | 6.S1911h 9m1h 9m

11MIT 6.S191 (2025): Recurrent Neural Networks, Transformers, and Attention1h 2m1h 2m

12MIT 6.S191 (2025): Convolutional Neural Networks1h 1m1h 1m

13MIT 6.S191 (2025): Deep Generative Modeling49 min49 min

14MIT 6.S191 (2025): Reinforcement Learning1h 2m1h 2m

15MIT 6.S191 (2025): Language Models and New Frontiers48 min48 min

16MIT 6.S191 (2025): Large Language Models (Google)56 min56 min

17MIT 6.S191 (2025): Large Language Models (Liquid AI)1h 8m1h 8m

18MIT 6.S191 (2025): A Hipocratic Oath, for *your* AI (Comet ML)51 min51 min

19MIT 6.S191 (2025): AI for Biology (Microsoft)57 min57 min

20MIT Introduction to Deep Learning (2024) | 6.S1911h 10m1h 10m

21MIT 6.S191 (2024): Recurrent Neural Networks, Transformers, and Attention1h 2m1h 2m

22MIT 6.S191 (2024): Convolutional Neural Networks1h 8m1h 8m

23MIT 6.S191 (2024): Deep Generative Modeling56 min56 min

24MIT 6.S191 (2024): Reinforcement Learning1h1h

25MIT 6.S191 (2024): Language Models and New Frontiers56 min56 min

26MIT 6.S191 (2024): Google - Generative AI for Media1h 8m1h 8m

27MIT 6.S191 (2024): Building AI Models in the Wild55 min55 min

28MIT Introduction to Deep Learning (2023) | 6.S19158 min58 min

29MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention1h 3m1h 3m

30MIT 6.S191 (2023): Convolutional Neural Networks55 min55 min

31MIT 6.S191 (2023): Deep Generative Modeling1h1h

32MIT 6.S191 (2023): Robust and Trustworthy Deep Learning54 min54 min

33MIT 6.S191 (2023): Reinforcement Learning58 min58 min

34MIT 6.S191 (2023): Deep Learning New Frontiers1h 9m1h 9m

35MIT 6.S191 (2023): Text-to-Image Generation45 min45 min

36MIT 6.S191 (2023): The Modern Era of Statistics53 min53 min

37MIT 6.S191 (2023): The Future of Robot Learning1h 3m1h 3m

38MIT Introduction to Deep Learning (2022) | 6.S19149 min49 min

39MIT 6.S191 (2022): Recurrent Neural Networks and Transformers58 min58 min

40MIT 6.S191 (2022): Convolutional Neural Networks49 min49 min

41MIT 6.S191 (2022): Deep Generative Modeling55 min55 min

42MIT 6.S191 (2022): Reinforcement Learning55 min55 min

43MIT 6.S191 (2022): Deep Learning New Frontiers53 min53 min

44MIT 6.S191: LiDAR for Autonomous Driving49 min49 min

45MIT 6.S191: Automatic Speech Recognition42 min42 min

46MIT 6.S191: AI for Science45 min45 min

47MIT 6.S191: Uncertainty in Deep Learning50 min50 min

48MIT 6.S191 (2021): Introduction to Deep Learning57 min57 min

49MIT 6.S191 (2021): Recurrent Neural Networks1h 1m1h 1m

50MIT 6.S191 (2021): Convolutional Neural Networks56 min56 min

51MIT 6.S191 (2021): Deep Generative Modeling1h 2m1h 2m

52MIT 6.S191 (2021): Reinforcement Learning57 min57 min

53MIT 6.S191 (2021): Deep Learning New Frontiers51 min51 min

54MIT 6.S191: Evidential Deep Learning and Uncertainty49 min49 min

55MIT 6.S191: AI Bias and Fairness43 min43 min

56MIT 6.S191: Deep CPCFG for Information Extraction41 min41 min

57MIT 6.S191: Taming Dataset Bias via Domain Adaptation43 min43 min

58MIT 6.S191: Towards AI for 3D Content Creation48 min48 min

59MIT 6.S191: AI in Healthcare34 min34 min

60MIT 6.S191 (2020): Introduction to Deep Learning53 min53 min

61MIT 6.S191 (2020): Recurrent Neural Networks45 min45 min

62MIT 6.S191 (2020): Convolutional Neural Networks37 min37 min

63MIT 6.S191 (2020): Deep Generative Modeling41 min41 min

64MIT 6.S191 (2020): Reinforcement Learning44 min44 min

65MIT 6.S191 (2020): Deep Learning New Frontiers38 min38 min

66MIT 6.S191 (2020): Neurosymbolic AI41 min41 min

67MIT 6.S191 (2020): Generalizable Autonomy for Robot Manipulation47 min47 min

68MIT 6.S191 (2020): Neural Rendering37 min37 min

69MIT 6.S191 (2020): Machine Learning for Scent39 min39 min

70Barack Obama: Intro to Deep Learning | MIT 6.S1912 min2 min

71MIT 6.S191 (2019): Introduction to Deep Learning45 min45 min

72MIT 6.S191 (2019): Recurrent Neural Networks37 min37 min

73MIT 6.S191 (2019): Convolutional Neural Networks41 min41 min

74MIT 6.S191 (2019): Deep Generative Modeling44 min44 min

75MIT 6.S191 (2019): Deep Reinforcement Learning45 min45 min

76MIT 6.S191 (2019): Deep Learning Limitations and New Frontiers36 min36 min

77MIT 6.S191 (2019): Visualization for Machine Learning (Google Brain)38 min38 min