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

4.9
stars
63,245 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

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

XG

Oct 30, 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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4576 - 4600 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Sameer C

•

Oct 7, 2017

Amazing. Just amazing!

By Lingjian K

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Sep 24, 2017

Andrew Ng is the best!

By Marat B

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Sep 22, 2017

comprehensive material

By Kiyong H

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Sep 14, 2017

It's so fun and useful

By Maurizio S

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Sep 11, 2017

excellent as expected!

By Merwin F

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Sep 9, 2017

Great course. Loved it

By naveen m

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Sep 4, 2017

thank you Prof Andrew,

By Vijayabhaskar J

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Aug 21, 2017

Great Course as usual.

By Xếp T T

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Aug 1, 2023

Thank for your course

By Jay M

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Oct 18, 2021

It was good but short

By Francois L

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Nov 4, 2020

Excellent, as always.

By Jayant B

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Sep 28, 2020

It was a nice course!

By madhu g

•

Sep 7, 2020

very nice explanation

By SAI V C

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Jul 4, 2020

VERY VERY GOOD COURSE

By Hritik Z

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Jun 20, 2020

it's simply amazing !

By RUSHIKESH P R B

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Jun 11, 2020

Great way of teaching

By BAIDA O

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Jun 2, 2020

Andrew NG the best!!!

By SHEETAL S

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May 28, 2020

anaother great course

By Prithvi A K

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May 13, 2020

Great second course!!

By Waqar A

•

May 7, 2020

Great course contents

By Amr B

•

Apr 18, 2020

great course as usual

By Mehedi S

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Mar 31, 2020

Beautifully organized

By PURUSHOTHAMAN S

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Mar 30, 2020

Wonderful course!!!!!

By Snow H

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Mar 23, 2020

Really helpful for me

By Prashant A

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Feb 15, 2020

Very good instruction