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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,477 ratings

About the Course

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for building deep learning applications; be able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

MD

May 5, 2018

Would have liked to see the math and more complete explanations for all the things that Prof. Ng glosses over by saying "you don't really need to understand XYZ". Even if this material was optional.

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5401 - 5425 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ilya P

•

Feb 18, 2019

*Thumbs up*

By 김윤수

•

Jan 9, 2019

I liked it!

By Suresh S

•

Nov 17, 2018

Excellent !

By Cristian c P A

•

Nov 14, 2018

good course

By jiajun z

•

Oct 20, 2018

nice course

By Mohit S C

•

Sep 27, 2018

Tuning in !

By Prabakar K

•

Aug 2, 2018

good one...

By Yuanlai L

•

Jul 9, 2018

very useful

By David O P

•

Apr 23, 2018

masterpiece

By Guang L

•

Apr 13, 2018

思路清晰，学到很多知识

By Haowei Z

•

Apr 4, 2018

Very useful

By yanguangyu

•

Feb 27, 2018

good course

By Bongani A M

•

Feb 25, 2018

Enjoyed it.

By vikrant s

•

Feb 14, 2018

awesome!!!!

By Nickie X

•

Jan 25, 2018

simply best

By Weizhi

•

Jan 17, 2018

Very useful

By Ali A

•

Dec 6, 2017

Best course

By Selwin K

•

Dec 6, 2017

Outstanding

By Yehang H

•

Nov 22, 2017

Nice course

By GuangjianHou

•

Nov 17, 2017

通俗易懂，很好的课程。

By Arnaud S

•

Nov 16, 2017

Excellent !

By Seyhan E G

•

Nov 16, 2017

Thank you:)

By xuhp

•

Oct 30, 2017

it's great,

By 王展雄

•

Oct 25, 2017

Nice course

By Jingyi L

•

Oct 23, 2017

Like it. :)