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

4.9
stars
63,481 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

DD

Mar 29, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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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3976 - 4000 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Kanwal

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May 10, 2020

Very informative and well presented.

By Muthyam S

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May 6, 2020

tensorflow explanation was very good

By Yves D

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Apr 20, 2020

Well developed and delivered course!

By Jinan Z

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Feb 4, 2020

Programming exercise was too simple.

By Gal E

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Oct 6, 2019

Awsome course! learned a lot from it

By Muhammad U B I

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Aug 26, 2019

Extraordinary, Claps to Andre Ng. :)

By Chris M

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Aug 21, 2019

Again, top notch content. Well done!

By Aditya G

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Jun 1, 2019

In love with Andrew NG. Huge respect

By Mohab

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Apr 22, 2019

top of top courses in deep learning

By Santiago G

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Apr 7, 2019

Excellent! Great as I was expecting!

By Duy-Hung N

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Jan 5, 2019

Thank you Andrew Ng you are my idol.

By jia-you, C L

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Nov 3, 2018

Thanks for this class what I learned

By Samuel H

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Oct 28, 2018

Lots of very useful information here

By sumeet r

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Oct 12, 2018

Very informative and quintessential.

By Jeromenicholas

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Oct 2, 2018

Extremely useful.

Andrew is a genius.

By Michael P

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Sep 7, 2018

Good explanation of RMSprop and Adam

By Pierre F

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Jun 20, 2018

Complete and well explained. Thanks.

By isaac b

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Jun 9, 2018

Another great course from Andrew Ng!

By Nicholas K

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May 14, 2018

Good mix of theory and hand-holding!

By Trace L

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Feb 27, 2018

Another stellar course by Andrew Ng!

By Carlo C

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Jan 25, 2018

Super well done! Thanks! Very clear!

By Vipul P

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Jan 15, 2018

Thank you Andrew, very good material

By Arvind S

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Jan 3, 2018

Awesome and extremely useful course!

By Cong C

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Dec 29, 2017

Contents are almost state of the art

By Calvin L

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Dec 25, 2017

Programming exercises were too easy.