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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

4.9
stars
63,380 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 9, 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 31, 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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3651 - 3675 of 7,273 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By raj m

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Mar 28, 2018

Very well explained with practical scenarios.

By Ankit P

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Mar 11, 2018

Simple explanations of complex optimizations.

By Kiran B

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Feb 17, 2018

Thanks for making such great materials public

By Rama K P

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Jan 27, 2018

Excellent course and thank you Andrew Ng sir.

By Xingming L

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Jan 17, 2018

It is the best AI course I learned until now.

By 蜗牛爱上星星

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Dec 28, 2017

既可以通过视频学习理论知识，又能够通过在线编程实际实践。很容易掌握。真是不错的难得的课程！

By Jin D

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Dec 22, 2017

Learned many useful and practical techniques!

By 李珂

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Nov 11, 2017

So many practical advices! Well done, Andrew!

By Ananth K

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Sep 25, 2017

Professor Andrew's presentation is fantastic.

By Jacky L

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Sep 10, 2017

Assignment is quite helpful and well designed

By yunshan c

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Sep 2, 2017

课程很精彩，浅显易懂，受益匪浅。

建议：

希望能在每一个课题结束之后推荐一些更深入的文章资料。

By Arnav M

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Aug 25, 2024

Great course per usual from DeepLearning.AI.

By Анастасия А

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Nov 10, 2022

It was complicating, but really interesting!

By P B

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Oct 1, 2021

yet another amazing course by Prof.Andrew NG

By Gustavo A L M

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Apr 24, 2021

Dr. Andrew Ng is the best professor ever !!!

By Dinesh K P

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Nov 17, 2020

Easy to follow steps, great indepth coverage

By Brandon R

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Oct 2, 2020

As always, Andrew Ng is a fantastic teacher!

By Tongxi L

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Sep 4, 2020

gives better understanding to neural network

By Anchal M

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Sep 4, 2020

Very informative course...highly recommended

By ANURAG A J

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Jul 8, 2020

Another one of the good courses by Andrew ng

By Mamta S

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Jun 26, 2020

Perform program in the area of Deep Learning

By V. S R

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Jun 2, 2020

Faculty is very good and examples are useful

By Ankan G D

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May 3, 2020

All the topics are well-explained. Loved it!

By Patrick P

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Apr 30, 2020

Again of the interesting course by Andrew ng

By Amit K G

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Apr 24, 2020

This course has enriched my knowledge of DL.