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
63,489 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

NC

Aug 18, 2017

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.

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

Filter by:

5751 - 5775 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Arijit B

•

May 16, 2021

Amazing

By 许瑶瑶

•

Apr 18, 2021

perfect

By ankit k

•

Apr 14, 2021

must do

By zhuxiaowei

•

Apr 10, 2021

Nice!!!

By ANURAG B

•

Dec 23, 2020

Awesome

By Muhamad Z F

•

Oct 29, 2020

awesome

By Виталий В

•

Aug 23, 2020

perfect

By Alexander C

•

Aug 5, 2020

Thanks!

By Suman D

•

Jul 29, 2020

awesome

By Jose I L

•

Jul 16, 2020

UFFFFFF

By Ingyu L

•

Jun 28, 2020

Amazing

By Goutham K K

•

Jun 27, 2020

Great.!

By yinlum

•

May 31, 2020

AWESOME

By Muhammed A

•

May 8, 2020

Perfect

By Darwin S H C

•

Apr 18, 2020

Thanks!

By Zhisheng Z

•

Mar 14, 2020

gogogo!

By Prabhat K M

•

Mar 1, 2020

Amazing

By Lydienne K

•

Feb 11, 2020

Thanks.

By Thành C V

•

Oct 22, 2019

Great!!

By Eman L E

•

Sep 1, 2019

Great !

By taeha k

•

Aug 18, 2019

Good~~!

By Prasenjit K

•

Jul 26, 2019

So Good

By 龚华君

•

Jul 18, 2019

Ok 收获良多

By Xiang D

•

Jul 5, 2019

学到很多 谢谢