Why Regularization Reduces Overfitting?

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배우게 될 기술

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

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4.9개(59,473개 평가)

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AM

2019년 10월 8일

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I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

CV

2017년 12월 23일

Filled StarFilled StarFilled StarFilled StarFilled Star

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\n\nThanks.

수업에서

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.

강사:

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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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