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Compétences que vous apprendrez

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

Avis

4.9 (59,961 évaluations)

  • 5 stars
    88,30 %
  • 4 stars
    10,56 %
  • 3 stars
    0,97 %
  • 2 stars
    0,10 %
  • 1 star
    0,05 %

AS

18 avr. 2020

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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

XG

30 oct. 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.

À partir de la leçon

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.

Enseigné par

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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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