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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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4476 - 4500 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 张峰

•

Dec 9, 2017

这个系列课程的字幕遮挡问题一直是个槽点，希望改进

By 程皓

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Nov 26, 2017

little diffcult but good

By Mohammed A

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Nov 21, 2017

OF COURSE A GREAT COURSE

By Georgii F

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Oct 29, 2017

Great course, thank you!

By Katharina K

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Oct 16, 2017

Amazing thanks Prof. Ng!

By Tất T V

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Oct 9, 2017

good, easy to understand

By Ofentswe L

•

Sep 22, 2017

This course is very good

By Kartoue M D

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Sep 18, 2017

Very interesting course!

By Sl4er

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Sep 16, 2017

作业是不是有点问题，满分但是跑出的结果有点不一样

By yinling l

•

Aug 20, 2017

very useful and thanks!

By Jesus F B

•

Aug 17, 2017

Complete and interesting

By Frank M

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Oct 26, 2024

Great course. Godspeed!

By Pablo C B U

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Aug 25, 2021

Nice Theoretical Course

By Yongkang L

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Aug 22, 2021

very good，help me a lot

By manasa k

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Jul 18, 2021

Great course. Loved it.

By Abir G

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Jul 11, 2021

It was just amazing !!!

By Trần T T

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Apr 22, 2021

this course is amazing!

By Debrup D

•

Dec 25, 2020

THANK YOU ANDREW NG SIR

By 曾建霖

•

Dec 21, 2020

it is really good!!!!!!

By Gaurav K

•

Oct 16, 2020

very good course to do.

By Apurv T

•

Aug 26, 2020

Very informative course

By Rajesh P

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Aug 19, 2020

Very helpful course !!!

By Ashish B

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Aug 16, 2020

Thanks a lot coursera!!

By Behzad M

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Jul 21, 2020

This course is AWESOME!

By Sarvajeet H (

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Jun 29, 2020

Andrew N.G. is the best