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

4.9
stars
63,068 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

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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.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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4726 - 4750 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By नवल

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Jul 1, 2019

Amazing experience

By Christopher T

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Jun 1, 2019

Really enjoyed it!

By wolf

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May 21, 2019

great and detialed

By Jiayuan D

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May 8, 2019

strongly recommend

By phoenix c

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Mar 20, 2019

excellent course !

By 나종호

•

Mar 4, 2019

thank you so much.

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 27, 2019

Highly recommended

By Chen N

•

Jan 17, 2019

Awesome as always.

By John l

•

Jan 16, 2019

good course indeed

By Frédéric M

•

Nov 13, 2018

Really good course

By twice154

•

Nov 7, 2018

very good lectures

By 伟 刘

•

Oct 12, 2018

Thanks for The Ng!

By 郑非

•

Oct 3, 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

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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

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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

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Nov 4, 2017

one word: Awesome!