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
63,296 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

AS

Apr 19, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

XG

Oct 31, 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:

5326 - 5350 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Hao D

•

Apr 24, 2018

Nice course!

By Mark L

•

Apr 22, 2018

great course

By 郑晨斌

•

Apr 9, 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. :*

By 栗韶远

•

Nov 27, 2017

Great Course

By R11

•

Nov 21, 2017

Very helpful

By Ho Y C

•

Nov 17, 2017

Excellent!!!

By Melvin E

•

Oct 8, 2017

excellent!!!

By Manuel T

•

Oct 2, 2017

Great course

By Amar g

•

Sep 29, 2017

Great course

By spencer z

•

Sep 27, 2017

great course

By Xinyu W

•

Sep 9, 2017

Great class!

By Peng J

•

Aug 24, 2017

Learn a lot.

By Xu B

•

Aug 21, 2017

great course

By phung h x

•

Aug 12, 2017

great course

By yash g

•

Nov 21, 2024

very nice!!

By Sultan Z

•

Nov 30, 2023

Outstanding

By Dr. M S

•

Jul 14, 2023

Outstanding