Basic Recipe for Machine Learning

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View Syllabus

Skills You'll Learn

Tensorflow, Deep Learning, hyperparameter tuning, Mathematical Optimization

Reviews

4.9 (62,847 ratings)

  • 5 stars
    88.21%
  • 4 stars
    10.58%
  • 3 stars
    1.01%
  • 2 stars
    0.11%
  • 1 star
    0.06%

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.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

From the lesson

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.

Taught By

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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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