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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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4651 - 4675 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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 yuri M

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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

•

May 28, 2018

very good，meaningful

By Wanchiy

•

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

•

Jan 5, 2018

really great course!

By qixiang

•

Dec 11, 2017

Ng is a good teacher

By Tega E

•

Dec 7, 2017

Very well structured

By Chang H

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Nov 24, 2017

Very helpful for me.

By Wanicca

•

Sep 29, 2017

非常良心的课程，我要把五门课程全部通过～

By Brandon W

•

Sep 9, 2017

Amazing instruction.

By liubai01

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Sep 6, 2017

Excellent exercises!

By LI H

•

Aug 21, 2017

Fantastic as always!

By Zexi H

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Aug 19, 2017

Awesome assignments!

By Inna U P

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May 22, 2024

Clear and efficient

By cornell

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Dec 15, 2021

GREAT COURSE in DL

By Bengt H

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Apr 11, 2021

Finally Tensorflow!