Regularization

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学習するスキル

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

レビュー

4.9 (61,421 件の評価)

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

NA

2020年1月13日

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

CV

2017年12月23日

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

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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