Chevron Left
Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,245 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

AM

Oct 8, 2019

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

XG

Oct 30, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

Filter by:

4826 - 4850 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jui-wen L

•

Jun 5, 2018

Very informative.

By Md J I

•

May 29, 2018

Excellent course.

By 吴雅婷

•

Apr 22, 2018

最后程序注释中有少量错误，别的很好

By Liu H

•

Apr 20, 2018

very good course!

By Zack L

•

Apr 17, 2018

Excellent course!

By ZHANG C

•

Apr 6, 2018

Very great course

By Pandya N

•

Mar 20, 2018

briefly explained

By Vimit D

•

Mar 20, 2018

great explanation

By Lucas B

•

Mar 11, 2018

Excellent course.

By Xue W

•

Mar 5, 2018

有理论讲解、有编程实践，干货满满。

By Kun W Y

•

Mar 4, 2018

Very nice course!

By 書瑋張

•

Feb 4, 2018

Very good course.

By Zach P

•

Jan 8, 2018

Excellent course.

By Rodrigo T

•

Dec 25, 2017

Excellent Course!

By Joaquin T

•

Dec 23, 2017

Amazing, as usual

By Lv s

•

Dec 21, 2017

吴恩达老师的课讲解的非常棒 ！！！

By Shangyu Y

•

Dec 9, 2017

Excellent course!

By xiyan

•

Nov 22, 2017

Excellent course！

By Etienne R

•

Nov 19, 2017

Really complete !

By Feliu S

•

Nov 11, 2017

Very well taught.

By Michael O

•

Nov 10, 2017

Excellent course!

By Alexandre E

•

Nov 10, 2017

fantastic insight

By 林杰

•

Nov 5, 2017

难易适中，适合学习，感谢吴恩达老师

By pratik p

•

Oct 28, 2017

Excellent course!

By 刘斌

•

Oct 12, 2017

Marvelous Course!