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

4.9
stars
63,295 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 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

XG

Oct 30, 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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6976 - 7000 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

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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

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Jan 23, 2018

not very like tensorflow...

By SK I R

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Jun 1, 2020

More mathematics expecting

By Wong C H

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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

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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

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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!!!

By suraj s

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Jun 22, 2019

It was amazing course.

By Anna K W

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Aug 15, 2018

homeworks too simple!!

By Wurihan

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Mar 5, 2018

有点难懂，不过通过编程练习依然学到很多东西。

By 김진수

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Feb 18, 2019

This course was good.