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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

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

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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4801 - 4825 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Alia M

•

Jan 9, 2020

Thank you so much

By Huynh B H

•

Dec 14, 2019

this is very good

By null

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Oct 11, 2019

非常好，提供了很多超参调节实践经验

By Raunak S

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Aug 23, 2019

as always as best

By Abhinand

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Jun 13, 2019

Brilliant course.

By ashish j

•

Jun 12, 2019

Great Assignments

By supertian

•

Jun 3, 2019

It's very useful.

By Yongjian F

•

May 25, 2019

Very interesting.

By Manish K

•

May 25, 2019

very good content

By zhou

•

Mar 31, 2019

非常详细，讲的特别好，还有实验课程

By James C

•

Feb 22, 2019

Very good course.

By JINWOO S

•

Feb 20, 2019

best course ever!

By AASHISH B

•

Feb 14, 2019

Awesome course :)

By HARENDRA S

•

Jan 3, 2019

Very good course.

By Eoghan T

•

Jan 1, 2019

Thanks, Prof. Ng!

By 朱荣鑫

•

Dec 23, 2018

As good as before

By Mohammed A B

•

Dec 15, 2018

awesome content !

By Motilal R S

•

Dec 3, 2018

Excellent Course!

By Stefan K

•

Nov 23, 2018

Very good course!

By 苏庆祝

•

Nov 22, 2018

very nice course.

By Bhaskar D

•

Nov 20, 2018

Excellent course!

By Shan-Jyun W

•

Nov 15, 2018

Love this course!

By Bogdan S

•

Nov 4, 2018

Excellent course!

By Zhidan W

•

Oct 17, 2018

Extremely helpful

By Jakub V

•

Sep 9, 2018

Depth and clarity