Bias / Variance

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学習するスキル

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

レビュー

4.9 (61,603 件の評価)

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

AS

2020年4月18日

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

AB

2021年8月26日

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.

レッスンから

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.

講師

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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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