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您将学习的技能

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

审阅

4.9(59,448 个评分)

  • 5 stars
    88.31%
  • 4 stars
    10.55%
  • 3 stars
    0.97%
  • 2 stars
    0.10%
  • 1 star
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AM

Oct 8, 2019

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I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

HD

Dec 5, 2019

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I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.\n\nthe only thing i didn't have completely clear is the barch norm, it is so confuse

从本节课中

Practical Aspects of Deep Learning

Discover and experiment with a variety of different initialization methods, apply L2 regularization and dropout to avoid model overfitting, then apply gradient checking to identify errors in a fraud detection model.

教学方

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    Andrew Ng

    Instructor

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    Kian Katanforoosh

    Senior Curriculum Developer

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    Younes Bensouda Mourri

    Curriculum developer

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