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

4.9
stars
63,299 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.

AM

Oct 9, 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

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4326 - 4350 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Yunxiang L

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Sep 3, 2017

给我带来了很大的提高，对于深度学习的理解更加透彻，感谢！

By Clarence W

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Sep 3, 2017

该系列课程的第二部分，对神经网络超参的讲解，非常有价值！

By FEI Z

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Aug 31, 2017

Great course as the 1st one!

By zios s

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Aug 23, 2017

awesome Course

Great teacher

By Yonah M

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Jan 17, 2022

I had a great time learning

By Ba L

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Oct 2, 2021

Prof.Andrew NG is the best!

By Arya

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Sep 11, 2021

Brilliant course. Loved it!

By Hoang D

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Aug 30, 2021

So really helpful and great

By Luke L

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Jul 21, 2021

Great, I have learnt a lot!

By Rodrigo N S

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Feb 2, 2021

Terrific. Highly recommend.

By sujit s

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Jan 30, 2021

The course well structured.

By Efrad G

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Nov 24, 2020

GOOD PROGRAMMING ASSIGNMENT

By Taranov G

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Oct 20, 2020

Good course with nice labs.

By ANMOL J

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Jul 19, 2020

Amazing ! and Insightful !

By denglh

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Jun 18, 2020

Thanks for the nice course!

By Hemant Y

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Jun 11, 2020

Very engaging and practical

By ABHISHEK S T 1

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Jun 10, 2020

Its really very nice course

By Hassan A

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Jun 3, 2020

The course was very helpful

By Shrinivas D D

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May 7, 2020

Very informative and useful

By 陈禹男

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Apr 22, 2020

wonderful,I like the course

By Nick M

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Apr 1, 2020

really clear and well paced

By Dina E H

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Mar 18, 2020

Thanks for this opportunity

By Arjun g

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Sep 27, 2019

Great Course! Thanks Andrew

By Le Y

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Sep 16, 2019

useful practical techniques

By Eddy P

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May 15, 2019

really helpful tuning skils