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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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4626 - 4650 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By George Z

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Jan 15, 2021

Very helpful course.

By Narongrit R

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Jan 7, 2021

Really good course !

By MyoMin H

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Nov 2, 2020

Great Course, Thanks

By Gabriele M

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Sep 4, 2020

Really enlightening!

By 张松波

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Jun 24, 2020

adam优化器居然这么容易就懂了，太棒了

By Aditya M

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Jun 13, 2020

A really good course

By KAPIL G

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May 17, 2020

Very detailed course

By Bảo L H

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Feb 28, 2020

Thank you so much!!!

By Aman K

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Jan 11, 2020

Very useful course!!

By Mihai F

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Jan 5, 2020

Very well explained.

By varun s

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Aug 21, 2019

Fantastic as always.

By 王嘉奕

•

Aug 5, 2019

非常好的课程，让我进一步了解了神经网络。

By Jacques B

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Jun 7, 2019

An excellente course

By Valentino C

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May 15, 2019

Incredibly practical

By Gopi K E

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Mar 15, 2019

Owe a lot to Dr. Ng!

By Li Z

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Feb 6, 2019

thank you very much!

By Divya M

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Nov 4, 2018

Thank you Andrew NG.

By Firas

•

Sep 20, 2018

Indrew is incredible

By 陆尹浩

•

Sep 4, 2018

good course! thanks.

By Francisco P

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Aug 14, 2018

Amazing and helpful.

By jackxu

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May 28, 2018

very good，meaningful

By Wanchiy

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Apr 29, 2018

感谢老师的教程 让我对深度学习了解的更深

By Abdulmajeed M K

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Apr 17, 2018

Amazing as expected!

By kaustubh j

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Mar 4, 2018

Really great course.

By shin s

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Jan 5, 2018

really great course!