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

4.9
stars
63,494 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

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

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

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5851 - 5875 of 7,284 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Junior F M

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Apr 21, 2018

Great!

By Andrei S

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Apr 12, 2018

Great!

By Binqiao.Zhang Z

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Mar 5, 2018

thanks

By Sonali A D

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Feb 23, 2018

Superb

By coursera1

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Jan 21, 2018

thanks

By gaozhipeng

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Dec 15, 2017

超棒的课程！

By Mike R

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Oct 27, 2017

GREAT!

By Sicheng Z

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Oct 26, 2017

Great!

By Tamay A

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Oct 16, 2017

Great!

By George Z

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Sep 22, 2017

Greate

By John P

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Sep 22, 2017

Great!

By savinay s

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Sep 10, 2017

Thanks

By Marek O

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Aug 29, 2017

Great!

By 陈杨

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Aug 19, 2017

Greet!

By John C

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Aug 17, 2017

superb

By Tung L D

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Jan 30, 2025

great

By Diego C C

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Dec 26, 2024

great

By 5989_RINKESH K S

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Aug 21, 2024

great

By Debarshi D

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Sep 16, 2021

Epic!

By 姚和

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Jul 25, 2021

nice!

By Vương N

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Apr 16, 2021

great

By Choon C N

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Jan 31, 2021

nice!

By crownZ

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Sep 22, 2020

good！

By Adithya T R

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Aug 24, 2020

Nice.

By Dung H N

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Jun 25, 2020

great