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
63,221 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

AB

Aug 26, 2021

Amazing course which focus on the theoretical part of parameters tuning, but it needs more explanation of Tensorflow, as I felt a little lost in the last project. Except that, it is an amazing course.

Filter by:

7001 - 7025 of 7,257 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 배병선

•

Mar 25, 2020

Good for beginners

By akshay v

•

Jun 28, 2019

a little difficult

By shudhatma

•

Jun 17, 2018

A very good course

By CHANGHYUN A

•

Apr 1, 2021

excellent lecture

By Sonny M

•

Apr 20, 2020

Excellent course!

By Michael A

•

Mar 15, 2019

Add more quizzes.

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! :)