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
63,175 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:

5301 - 5325 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By sag s

•

Dec 1, 2018

Just AWESOME

By T, K

•

Nov 3, 2018

Nice Course!

By Yanxiang Y

•

Oct 26, 2018

Best course!

By Xu T

•

Oct 19, 2018

very useful.

By Udit S

•

Oct 9, 2018

Great course

By eralpozcan

•

Sep 23, 2018

Andrew Ng <3

By Wojciech P

•

Sep 11, 2018

Great course

By Dalai Y

•

Sep 7, 2018

Very useful!

By anupam b

•

Aug 8, 2018

Good part 2!

By 唐志强

•

Aug 7, 2018

Thanks a lot

By 杨潇

•

Jul 26, 2018

really great

By Soumik R

•

Jul 13, 2018

Great Course

By Osama A

•

Jun 9, 2018

Great Course

By AyaHamdy

•

May 25, 2018

Great Course

By Hao D

•

Apr 24, 2018

Nice course!

By Mark L

•

Apr 22, 2018

great course

By 郑晨斌

•

Apr 8, 2018

Very useful！

By Katrina C

•

Mar 24, 2018

Many Thanks!

By Yaxin L

•

Mar 7, 2018

very helpful

By Mithilesh K S

•

Jan 29, 2018

Great course

By joris l

•

Jan 22, 2018

Really good!

By 郭玮

•

Dec 25, 2017

Nice course!

By PRALAY P

•

Dec 24, 2017

Great Course

By 陆恒

•

Dec 12, 2017

非常喜欢Andrew的课

By Roussel R

•

Dec 2, 2017

Loved it. :*