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

4.9
stars
63,295 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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4076 - 4100 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Haitao C

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Nov 1, 2018

Great course, clear, easy to learn

By Kedar D G

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Aug 28, 2018

awesome explaination by Sir Andrew

By Goodorc

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Aug 6, 2018

Much harder than the first lesson.

By byehero

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Jul 18, 2018

我非常喜欢这门课程，内容很详细，我能听懂，而且可以自己能实现一些应用

By leauyn

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Jul 7, 2018

Great course, wonderful assignment

By Iraklis K

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Jun 24, 2018

Great course! Very well organized!

By zhaochengshuai

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May 6, 2018

wonderful class, I reall enjoy it!

By Julio

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Mar 14, 2018

this course have interesting thing

By ESWAR L

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Feb 20, 2018

very concise lectures by Andrew NG

By Milos D

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Dec 31, 2017

Excellent as every one from Andrew

By Tony Z

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Dec 5, 2017

Excellent course in deep learning.

By Aaron W

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Oct 21, 2017

easy understandable, good teaching

By Jean M A S

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Oct 18, 2017

Very good, like the first course !

By Zhi-lin L

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Oct 8, 2017

Ng tell you how to nudge the model

By hangtian.jia

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Sep 30, 2017

Great! Very fundamental materials!

By Hussein M

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Sep 18, 2017

Great and very interesting course.

By Iosif D R

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Sep 12, 2017

Sharp, fast, optimal and rewarding

By 王兆昱

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Aug 29, 2017

Very good course, thank you Andrew

By Maolin G

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Aug 24, 2017

well organised, densy information.

By Saai V P

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Sep 6, 2020

It was very useful and intuitive.

By Priyabrat D

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Aug 19, 2020

Prof Ng and his team are awesome!

By T K

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Aug 15, 2020

Thanks for building my intuitions

By Shahid s

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Jul 26, 2020

Thank you for such amazing course

By Amine

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Jul 19, 2020

Thank for this intresting course!

By Kunal K

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Jun 28, 2020

Very much informative and helpful