Numerical Approximation of Gradients

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Habilidades que você aprenderá

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

Avaliações

4.9 (61,770 classificações)

  • 5 stars
    88,21%
  • 4 stars
    10,60%
  • 3 stars
    1%
  • 2 stars
    0,11%
  • 1 star
    0,05%

AB

26 de ago de 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.

AS

18 de abr de 2020

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

Na lição

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.

Ministrado por

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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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