Understanding Dropout

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강의 계획표 보기

배우게 될 기술

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

검토

4.9개(61,451개 평가)

  • 5 stars
    88.22%
  • 4 stars
    10.60%
  • 3 stars
    1%
  • 2 stars
    0.11%
  • 1 star
    0.05%

AM

2019년 10월 8일

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

AS

2020년 4월 18일

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

수업에서

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.

강사:

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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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