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:

4276 - 4300 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Quan C

•

Nov 5, 2017

非常感谢吴恩达老师教授讲授的知识，以及幕后工作人员的努力！

By Ethan

•

Oct 3, 2017

help me a lot! thanks Andrew~

By Venkat K

•

Oct 2, 2017

Excellent, practical material

By YaQiong X

•

Sep 19, 2017

The course is really helpful!

By YUE Z

•

Aug 20, 2017

very accessible and practical

By Edward K

•

Mar 8, 2022

Great content in the course!

By John J

•

Apr 12, 2021

Well laid out and organized.

By Илья В

•

Mar 23, 2021

Очень хороший курс, Спасибо!

By 이지평

•

Feb 17, 2021

Good Tutorials for beginners

By Dafne N C T

•

Dec 31, 2020

Excelent. I'm learning a lot

By Guofeng L

•

Dec 16, 2020

明明课程已经完结了，为什么开启不了此专项课程的下一门课？

By ali o

•

Sep 29, 2020

Very helpful, thanks Andrew.

By Unnat T

•

Sep 21, 2020

good learning experience....

By raktim m

•

Aug 27, 2020

This course is very helpful.

By anuj g

•

Aug 5, 2020

great content best professor

By Arkadip M

•

Jul 10, 2020

Great course, very detailed.

By Avinoor S K

•

Jul 3, 2020

great course for learning nn

By Nikhil K

•

Jul 1, 2020

This course is just awesome!

By MOHSIN A

•

Jul 1, 2020

thank you, Prof.AndrewNg sir

By Shehan S

•

May 31, 2020

Wonderful course. Thank you.

By Md. F B R

•

May 30, 2020

Love you 2 sir Andrew Ng. <3

By Parmar A S

•

May 10, 2020

Fabulous must learn once...!

By Shivanand

•

May 9, 2020

Great assignment and quizzes

By prarabdh r 1

•

Apr 25, 2020

nice course..short and crisp

By Priyansh K

•

Mar 25, 2020

nice course and very helpful