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

4.9
stars
63,238 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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3926 - 3950 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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 1, 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 4, 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 12, 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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May 31, 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

By Yuri V H V

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Dec 1, 2017

the best course , I feel very excited

By WANG H

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Nov 29, 2017

Very practical and helpful ! Thanks !

By Matías P B O

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Nov 17, 2017

Awesome course as usual by Andrew Ng.

By Sambram B

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Nov 12, 2017

Amazing course covering great details