Training and Testing on Different Distributions

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Получаемые навыки

Deep Learning, Inductive Transfer, Machine Learning, Multi-Task Learning, Decision-Making

Рецензии

4.8 (оценок: 48,796)

  • 5 stars
    82,83 %
  • 4 stars
    13,73 %
  • 3 stars
    2,81 %
  • 2 stars
    0,47 %
  • 1 star
    0,13 %

JB

1 июля 2020 г.

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

MG

30 мар. 2020 г.

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

Из урока

ML Strategy

Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning.

Преподаватели

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    Andrew Ng

    Instructor

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    Younes Bensouda Mourri

    Curriculum developer

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    Kian Katanforoosh

    Senior Curriculum Developer

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