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您将学习的技能

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

审阅

4.9(59,715 个评分)

  • 5 stars
    88.31%
  • 4 stars
    10.55%
  • 3 stars
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  • 2 stars
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  • 1 star
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AB

Aug 26, 2021

Filled StarFilled StarFilled StarFilled StarFilled Star

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

XG

Oct 30, 2017

Filled StarFilled StarFilled StarFilled StarFilled Star

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

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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