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
63,505 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

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.

DH

Apr 26, 2020

Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.

Filter by:

5851 - 5875 of 7,286 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ma_xan

•

May 9, 2018

Great!

By Junior F M

•

Apr 21, 2018

Great!

By Andrei S

•

Apr 12, 2018

Great!

By Binqiao.Zhang Z

•

Mar 5, 2018

thanks

By Sonali A D

•

Feb 23, 2018

Superb

By coursera1

•

Jan 21, 2018

thanks

By gaozhipeng

•

Dec 15, 2017

超棒的课程！

By Mike R

•

Oct 27, 2017

GREAT!

By Sicheng Z

•

Oct 26, 2017

Great!

By Tamay A

•

Oct 16, 2017

Great!

By George Z

•

Sep 22, 2017

Greate

By John P

•

Sep 22, 2017

Great!

By savinay s

•

Sep 10, 2017

Thanks

By Marek O

•

Aug 29, 2017

Great!

By 陈杨

•

Aug 19, 2017

Greet!

By John C

•

Aug 17, 2017

superb

By Tung L D

•

Jan 30, 2025

great

By Diego C C

•

Dec 26, 2024

great

By 5989_RINKESH K S

•

Aug 21, 2024

great

By Debarshi D

•

Sep 16, 2021

Epic!

By 姚和

•

Jul 25, 2021

nice!

By Vương N

•

Apr 16, 2021

great

By Choon C N

•

Jan 31, 2021

nice!

By crownZ

•

Sep 22, 2020

good！

By Adithya T R

•

Aug 24, 2020

Nice.