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

4.9
stars
62,874 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

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

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3626 - 3650 of 7,219 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Hussain B

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Aug 30, 2018

Highly recommend this course to the begineers

By Ankit S

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Jun 13, 2018

Beautiful way of learning, Thanks Andrew Sir.

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 26, 2018

Excellent course and thank you Andrew Ng sir.

By Xingming L

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Jan 16, 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 21, 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 24, 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 Анастасия А

•

Nov 9, 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 16, 2020

Easy to follow steps, great indepth coverage

By Brandon R

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Oct 1, 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 1, 2020

Faculty is very good and examples are useful

By Ankan G D

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May 2, 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