Bias and Variance with Mismatched Data Distributions

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

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JB

2020年7月1日

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

2020年3月30日

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.

從本節課中

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.

教學方

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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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