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

4.9
stars
63,486 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

NC

Aug 18, 2017

Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

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4401 - 4425 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Mrinalini S

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May 11, 2019

A very interesting course!

By Apoorav G

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May 6, 2019

As always, amazing course!

By Abhishek S

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Mar 10, 2019

Awesome Course. A must do.

By Wang W

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Feb 4, 2019

講解的很清楚，作業難易適中，做完會對教的東西更有感覺

By Muhammad J K

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Dec 18, 2018

Yet another amazing course

By Felton Y

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Nov 19, 2018

Incredibly useful for me!

By hf

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Nov 8, 2018

very good and very useful!

By Jerome Z

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Oct 14, 2018

Cool class and very useful

By 李均强

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Sep 24, 2018

the course is really great

By Timothy w N

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Jul 23, 2018

Grader issues, frustrating

By Jisheng L

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Jun 15, 2018

Good course, easy to learn

By Camilo A

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May 27, 2018

Andrew is a great teacher.

By Shaoqing Y

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Apr 11, 2018

Very good series of course

By Matthias P

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Apr 4, 2018

In depth! Learned so much!

By Yasser K

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Mar 29, 2018

Excellent course as usual!

By Inderjeet S

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Mar 2, 2018

Great course.Thanks Andrew

By Ali E

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Feb 13, 2018

Great intro to Tensorflow!

By Steffen R

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Jan 25, 2018

that is just simply great!

By Mohamed A

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Dec 30, 2017

The course is so organized

By GRA V

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Dec 6, 2017

very nice !! thanks Andrew

By Xiao M

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Nov 10, 2017

nice course, learnt a lot!

By Bobby

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Oct 19, 2017

I love it, very insightful

By Chuck M

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Oct 4, 2017

Valuable practical advice.

By 周悦喜

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Sep 24, 2017

very good ! learned a lot

By Tyler M

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Sep 23, 2017

Great intro to TensorFlow!