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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,296 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

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.

AS

Apr 19, 2020

Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course

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3926 - 3950 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Ryan B

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May 8, 2020

Course was awesome! All hail MOOCS's!

By Eli B

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Feb 8, 2020

This is a phenomenal course. 5 stars.

By arnab s

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Nov 30, 2019

Very well explained concept as usual.

By Sandip S

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Nov 11, 2019

Excellent course content and lectures

By Ravi R

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Oct 14, 2019

Thoughtful and in detail explanation.

By Kanghoon Y

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Sep 2, 2019

Satisfied specially tensorflow guide.

By Fangda X

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Aug 20, 2019

not bad; seems well prepared lectures

By 허재원

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Aug 2, 2019

It was a perfect course!! Thank you!!

By Mostafa G

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Jul 15, 2019

Great lecture on deep neural networks

By Saurav M

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Apr 22, 2019

Assignments were amazing liked them!!

By Rohan K

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Feb 24, 2019

Phenomenal course on in deep learning

By nadaradjane

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Feb 5, 2019

Excellent. Need your slides, Mr Ng!!!

By Raunak N

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Jan 19, 2019

Thanks for such a remarkable teaching

By 周佳博

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Sep 24, 2018

字幕可以只是单一语言的字幕，比如：不必同时是英文和中文并存，这样会当掉屏幕

By Mohamed B

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Aug 13, 2018

Very good course. Really enjoyed it.

By 吴京城

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Aug 8, 2018

Very nice, step-by-step instructions!

By jayanta m

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Jul 30, 2018

Got idea about regularization and all

By Debjyoti B

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Jun 2, 2018

Perfect course for intermediate level

By George L

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Jun 1, 2018

Excellent Course, very practical tips

By Mike R

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Mar 15, 2018

another clear and to the point course

By Soumyanil B

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Mar 4, 2018

Excellent and very informative course

By Szymon B

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Mar 4, 2018

Lots of valuable practical knowledge.

By Tse-Yu L

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Feb 18, 2018

Nice course, excellent course design.

By Jitender S V

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Jan 5, 2018

Awesome course by awesome teacher :))

By Razvan B

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Dec 17, 2017

Great explanations and very practical