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

4.9
stars
63,325 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

DD

Mar 28, 2020

I have done two courses under Andrew ng and I am grateful to Coursera for their highly optimised and easily learning course structure. It has greatly help me gain confidence in this field. Thank you.

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4751 - 4775 of 7,271 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Khongorzul G

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Feb 17, 2019

one word: amazing!

By Raymond T Q T

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Jan 31, 2019

very good lectures

By Deepa K

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Jan 26, 2019

Highly recommended

By Chen N

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Jan 17, 2019

Awesome as always.

By John l

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Jan 16, 2019

good course indeed

By Frédéric M

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Nov 12, 2018

Really good course

By twice154

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Nov 6, 2018

very good lectures

By 伟 刘

•

Oct 12, 2018

Thanks for The Ng!

By 郑非

•

Oct 2, 2018

Very Nice Course !

By Rohit S

•

Jun 1, 2018

as always the best

By 徐海

•

Apr 26, 2018

介绍浅显易懂，弥补了初学者的经验不足

By 김원웅

•

Apr 21, 2018

God of all courses

By 夜雨飘零

•

Apr 14, 2018

感谢吴恩达老师，这个门课我受益匪浅。

By Sanjay K

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Jan 26, 2018

Its Andrew Ng. wow

By Dongxu Y

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Jan 11, 2018

thank you so much.

By Kai Z

•

Dec 26, 2017

Good demonstration

By César J N R

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Nov 17, 2017

Really nice course

By Joseph L

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Nov 14, 2017

Very useful course

By adi c b

•

Nov 4, 2017

one word: Awesome!

By Shabbir T

•

Oct 9, 2017

Excellent Program!

By luolongzhi

•

Oct 5, 2017

课程实践性很强，由浅入深，主线很清晰

By 杜永生

•

Aug 30, 2017

非常好的教程，谢谢吴老师的精彩讲授！

By bexvan

•

Aug 29, 2017

i like this course

By Cindy C

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Aug 21, 2017

very useful course

By Iván V P

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Aug 16, 2017

just incredible :D