Build your First System Quickly, then Iterate

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강의 계획서 보기

배우게 될 기술

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

검토

4.8(46,486개의 평가)
  • 5 stars
    82.67%
  • 4 stars
    13.88%
  • 3 stars
    2.83%
  • 2 stars
    0.47%
  • 1 star
    0.13%
JB
2020년 7월 1일

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
2020년 3월 30일

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.

수업에서
ML Strategy (2)
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.

강사:

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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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