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

4.9
stars
63,068 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

XG

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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.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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3226 - 3250 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Akshaykumar S

Jul 11, 2020

Great topic coverage and exercises. Loved every aspect !

By Sanjeev K Y

Jun 28, 2020

Specialization is an absolute delight for Deep Learning.

By VIJAYARAGHAVAN V

Jun 4, 2020

Excellent course, Wonderful experience to learn new DNN.

By Arvind K V

May 13, 2020

I really understand the nuts and bolts of neural network

By Nguyen T H

Apr 25, 2020

Great lessons and explain basic knowledge of ML. Thanks.

By Bhanuprakash B

Mar 25, 2020

Best course to get clear with concepts of Deep Learning.

By dennis w

Jan 7, 2020

Andrew Ng is the best!!! He makes everything so clear.

By Hisham R

Nov 30, 2019

Excellent Course. Covered and explained topics very well

By VISHESH S

Nov 20, 2019

Amazing experience and once again amazing teaching style

By Alfredo P

Nov 17, 2019

I continue enjoying the journey. We'll see in the future

By Chien V

Aug 8, 2019

Great course, you should take to organise your knowledge

By Tomás O

Jun 19, 2019

All the practical knowledge in this course is amazing...

By Alexander R M

May 7, 2019

Very well structured course with many hands-on exercises

By Ruiliang L

Jan 6, 2019

Help you get the best understanding of the deep learning

By Marcelo F

Nov 24, 2018

It will help me to find solutions in ANN implementations

By Leiyang L

Aug 15, 2018

老师讲的非常好,深入浅出,可以看出来老师认真地备了课,已经停了Andrew老师很多课了,非常非常感谢老师的付出。

By Frederic D

Jun 24, 2018

Very interesting, Good continuation of the first module.

By Khawar A A

May 18, 2018

excellent.. 7 stars.. more then 5. I really learnt alot.

By Sushil S

Apr 1, 2018

A very important course for all deep learning enthusiast

By Eldar K

Mar 23, 2018

Great way to introduce hyperparameters and tensorflow!!!

By sagar s

Mar 20, 2018

With Respect, what a clarity on explaining the concepts!

By Cristian R M

Feb 20, 2018

Very good mathematics even for people from Chemistry :-)

By Julian R

Jan 8, 2018

Great lecture videos and very well-designed assignments.

By Alexandru E

Dec 31, 2017

Fantastic course as we've gotten used to from Andrew Ng!

By Felipe M

Dec 11, 2017

Nice course too, in the end it speeds up a bit too much.