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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
63,380 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 9, 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

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.

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3851 - 3875 of 7,273 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jebin R

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Jul 10, 2020

It was the best lecture=) Thanks a lot!

By Mahit K P

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May 30, 2020

Excellent learning. Highly recommended.

By Nisarg S

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May 9, 2020

Great and very well organized material.

By Rishabh M

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May 7, 2020

detailed course with great explanations

By Adityam G

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May 7, 2020

Amazingly taught. Loved all the modules

By Daniel B

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Apr 18, 2020

Excellent course. You will learn a lot.

By himanshu g

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Feb 6, 2020

very insightful and developed intuition

By Wei A

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Oct 2, 2019

very useful. Ng's introducing is great!

By Khushal M

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Mar 15, 2019

Helped me clear a lot of basic concepts

By 王丹棣

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Jan 21, 2019

A good course for deep learning novice.

By Mohammed U

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Jan 20, 2019

Excellent Support and course materials.

By Yuqing Z

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Nov 16, 2018

Even more useful than the first course.

By David S

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Nov 8, 2018

A very rich course, I've learned a lot.

By 于云飞

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Oct 1, 2018

这是个非常好的课程，学习后受益匪浅，让我对深度学习有了进一步的了解，感谢老师！

By Mykola S

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Jul 13, 2018

Great intro into Deep Learning! Thanks!

By Nick B

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Jun 10, 2018

Excellent as always! Thanks Andrew sir.

By jyhong

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May 28, 2018

A very meaningful course. It's perfect！

By Wix Z

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Apr 15, 2018

It helps me a lot. Highly recommended.

By steven c

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Apr 4, 2018

the learning process might be clarified

By brightmart

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Mar 14, 2018

practical lessons learned, very useful.

By Patrick E

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Jan 23, 2018

Very exciting and interesting material.

By Arnaud G

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Jan 10, 2018

As always with Andrew Ng, great and fun

By Wisteria

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Dec 25, 2017

Thanks for Andrew NG, very nice courses

By Soumya S

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Dec 10, 2017

Pragmatic balance of theory and hand on

By Arun R

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Nov 6, 2017

Way the content is explained in awesome