Bias and Variance with Mismatched Data Distributions

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Compétences que vous apprendrez

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

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4.8 (47,657 évaluations)

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    82,78 %
  • 4 stars
    13,80 %
  • 3 stars
    2,80 %
  • 2 stars
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  • 1 star
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JB

1 juil. 2020

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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 mars 2020

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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.

À partir de la leçon

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.

Enseigné par

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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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