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
63,156 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

Filter by:

5376 - 5400 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ankit J

•

Oct 19, 2019

best always

By Ashok B

•

Oct 7, 2019

Good course

By Chang G

•

Sep 30, 2019

best course

By jose m

•

Jul 25, 2019

nice course

By RAHUL T P

•

Jul 22, 2019

Awesome....

By Atakan S

•

Jun 23, 2019

Nice course

By tingting z

•

Apr 18, 2019

喜欢NG老师，棒棒棒！

By Jenil M

•

Apr 17, 2019

nice course

By 董云鹏

•

Apr 14, 2019

very useful

By Ilya P

•

Feb 18, 2019

*Thumbs up*

By 김윤수

•

Jan 9, 2019

I liked it!

By Suresh S

•

Nov 17, 2018

Excellent !

By Cristian c P A

•

Nov 14, 2018

good course

By jiajun z

•

Oct 20, 2018

nice course

By Mohit S C

•

Sep 27, 2018

Tuning in !

By Prabakar K

•

Aug 2, 2018

good one...

By Yuanlai L

•

Jul 9, 2018

very useful

By David O P

•

Apr 23, 2018

masterpiece

By Guang L

•

Apr 13, 2018

思路清晰，学到很多知识

By Haowei Z

•

Apr 4, 2018

Very useful

By yanguangyu

•

Feb 27, 2018

good course

By Bongani A M

•

Feb 25, 2018

Enjoyed it.

By vikrant s

•

Feb 14, 2018

awesome!!!!

By Nickie X

•

Jan 25, 2018

simply best

By Weizhi

•

Jan 17, 2018

Very useful