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
63,477 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.

Filter by:

5826 - 5850 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Shawn B

•

Mar 24, 2020

great!

By Abdelrahman R

•

Feb 1, 2020

Thanks

By Bhanuka D

•

Jan 6, 2020

great!

By Zheng H

•

Aug 26, 2019

Good!!

By Mohamed E E D

•

Aug 10, 2019

thanks

By Shilpi G

•

Jun 3, 2019

......

By Ola “ G

•

May 24, 2019

Great!

By JerryPeng

•

Apr 9, 2019

great！

By Sergio L M

•

Mar 28, 2019

Great!

By 謝秉勳

•

Mar 16, 2019

great!

By Md. A K

•

Mar 10, 2019

Awsome

By EL-KADDOURY M

•

Dec 2, 2018

thanks

By yangsen

•

Nov 10, 2018

非常好的课程

By Wendi Z

•

Oct 21, 2018

非常棒的课程

By 王子林

•

Oct 12, 2018

素晴らしい！

By Jiang

•

Sep 21, 2018

课程很清晰~

By 冯申翔

•

Aug 26, 2018

非常好的课程

By 潘晓春

•

Aug 2, 2018

非常好的课程

By Artem M

•

Jul 20, 2018

Great!

By Wentao H

•

Jul 4, 2018

great!

By Liu F

•

Jul 4, 2018

课程太好了！

By Zlyyuan

•

Jun 27, 2018

Super！

By Saleem M H

•

Jun 23, 2018

Great!

By Ma_xan

•

May 10, 2018

Great!

By Junior F M

•

Apr 21, 2018

Great!