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Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI

4.9
stars
63,237 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.

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

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5376 - 5400 of 7,260 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Oumar B

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May 2, 2020

super cours

By ELHACHIMI O

•

Apr 26, 2020

Awesome !!!

By Akash K V

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Apr 5, 2020

very useful

By Nilesh S

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Mar 25, 2020

Best Course

By Sumit C

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Mar 17, 2020

best course

By Gustavo A I E

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Jan 8, 2020

Excellent !

By Mojela M

•

Nov 30, 2019

Exceptional

By Ankit J

•

Oct 19, 2019

best always

By Ashok B

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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

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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

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Apr 23, 2018

masterpiece