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

4.9
stars
63,068 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

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

NC

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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

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5376 - 5400 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jenil M

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Apr 17, 2019

nice course

By 董云鹏

•

Apr 14, 2019

very useful

By Ilya P

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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,