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

4.9
stars
62,859 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

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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6926 - 6950 of 7,219 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ehsan G

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Aug 16, 2023

I'm happy for this experience

By Abraham M I

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Jul 27, 2020

need more intro to tensorflow

By Sebastian J R

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Jun 20, 2020

Labs should be more difficult

By SUJAY P

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Sep 4, 2020

nice ......but too diffucult

By 吴秀琛

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Nov 20, 2019

Learn a lot. Pytorch needed.

By Gianluca S

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Aug 10, 2019

No course material available

By Monhanmod K

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Mar 17, 2019

some video need more explain

By Ram R

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Nov 29, 2017

Good and practical knowledge

By Wei Z

•

Oct 16, 2017

It is 5 stars if more deeper

By mohammed a a

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Oct 1, 2020

the course content was good

By shuieryin

•

Jan 23, 2018

not very like tensorflow...

By SK I R

•

Jun 1, 2020

More mathematics expecting

By Wong C H

•

Mar 3, 2018

Useful but not very unique

By Jonathan D

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Feb 10, 2020

Challenging and rewarding

By Clemens T

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Sep 26, 2017

Learned lots of new stuff

By Akshat A

•

Feb 20, 2019

Concepts and intuitions.

By luca s

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Nov 7, 2017

Some error in assessment

By Mihir T

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Nov 5, 2017

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By Partha S

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Apr 22, 2020

Audio could be clearer.

By ashwin m

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Jun 30, 2019

Very nice,good learning

By Manuel F M R

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Dec 27, 2018

Good job! Thanks a lot.

By Georgios K

•

Feb 23, 2018

A great course as well.

By ASTRID J V M

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May 5, 2022

a Little hard concepts

By Mayuresh p

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Jun 22, 2020

Course is really good.

By Aman B

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May 28, 2020

Simply Great course!!!