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
63,152 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

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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:

7001 - 7025 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Fazni f

•

Sep 15, 2021

best course ever

By ARAVAPALLI P B V M

•

May 17, 2020

Excellent course

By Nono

•

Oct 31, 2019

Thank you,Andrew

By Frederick

•

Oct 6, 2018

very good course

By J C

•

Nov 20, 2017

Very Good Course

By Bala S

•

Aug 19, 2017

Fantastic course

By D A

•

Sep 26, 2020

it is very good

By Kim C

•

Sep 9, 2020

希望

æ›´æ–°

Tensorflow

2

By Oceanusity

•

May 11, 2019

pretty good one

By Idan P

•

May 23, 2018

Add more theory

By Miro M

•

Apr 11, 2018

Bad handwriting

By Matsela M

•

Feb 14, 2021

Great learning

By AKUT J R

•

Aug 16, 2020

Great module !

By Francisco R

•

May 8, 2018

pudo ser mejor

By Aadesh N

•

Sep 24, 2017

Great revision

By Zyro K

•

Aug 17, 2021

Challenging!!

By Kim M

•

Jul 27, 2020

So difficult.

By Elvar G

•

Nov 26, 2019

tf version1.X

By Ronit C

•

Mar 6, 2018

Thank you! :)

By Tze-Yuan C

•

Dec 11, 2017

Great course.

By Varun S (

•

Aug 3, 2020

Great Course

By Rachel S I

•

Jun 30, 2020

Great course

By Bruno G C

•

Oct 16, 2018

Really good.

By alex g

•

May 13, 2018

great course

By HUSSEIN A M

•

Jul 24, 2021

Nice Course