Bias / Variance

video-placeholder
Loading...
查看授課大綱

您將學習的技能

Tensorflow, Deep Learning, Mathematical Optimization, hyperparameter tuning

審閱

4.9(61,421 個評分)

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

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.

JS

2021年4月4日

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

從本節課中

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.

教學方

  • Placeholder

    Andrew Ng

    Instructor

  • Placeholder

    Kian Katanforoosh

    Senior Curriculum Developer

  • Placeholder

    Younes Bensouda Mourri

    Curriculum developer

探索我們的目錄

免費加入並獲得個性化推薦、更新和優惠。