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:

4726 - 4750 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Chinmaya H

•

Dec 8, 2019

Most interesting!!

By Menaka P A

•

Nov 11, 2019

Very Tough content

By Jose P

•

Sep 29, 2019

Very good overall.

By 陈宇轩

•

Sep 22, 2019

really impressive!

By Deleted A

•

Sep 19, 2019

Loved this course.

By Boris G A

•

Aug 17, 2019

lee is the best :D

By Deepak S

•

Jul 11, 2019

great explanations

By नवल

•

Jul 1, 2019

Amazing experience

By Christopher T

•

Jun 1, 2019

Really enjoyed it!

By wolf

•

May 21, 2019

great and detialed

By Jiayuan D

•

May 8, 2019

strongly recommend

By phoenix c

•

Mar 20, 2019

excellent course !

By 나종호

•

Mar 4, 2019

thank you so much.

By Khongorzul G

•

Feb 17, 2019

one word: amazing!

By Raymond T Q T

•

Jan 31, 2019

very good lectures

By Deepa K

•

Jan 27, 2019

Highly recommended

By Chen N

•

Jan 17, 2019

Awesome as always.

By John l

•

Jan 16, 2019

good course indeed

By Frédéric M

•

Nov 13, 2018

Really good course

By twice154

•

Nov 7, 2018

very good lectures

By 伟 刘

•

Oct 12, 2018

Thanks for The Ng!

By 郑非

•

Oct 3, 2018

Very Nice Course !

By Rohit S

•

Jun 1, 2018

as always the best

By 徐海

•

Apr 26, 2018

介绍浅显易懂，弥补了初学者的经验不足

By 김원웅

•

Apr 21, 2018

God of all courses