Other Regularization Methods

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查看授课大纲

您将学习的技能

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

审阅

4.9(61,606 个评分)

  • 5 stars
    88.21%
  • 4 stars
    10.60%
  • 3 stars
    1%
  • 2 stars
    0.11%
  • 1 star
    0.05%

AB

Aug 26, 2021

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.

AM

Oct 8, 2019

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

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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