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

4.9
stars
63,175 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

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.

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3851 - 3875 of 7,254 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 王丹棣

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Jan 21, 2019

A good course for deep learning novice.

By Mohammed U

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Jan 19, 2019

Excellent Support and course materials.

By Yuqing Z

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Nov 16, 2018

Even more useful than the first course.

By David S

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Nov 7, 2018

A very rich course, I've learned a lot.

By 于云飞

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Oct 1, 2018

这是个非常好的课程，学习后受益匪浅，让我对深度学习有了进一步的了解，感谢老师！

By Mykola S

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Jul 13, 2018

Great intro into Deep Learning! Thanks!

By Nick B

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Jun 10, 2018

Excellent as always! Thanks Andrew sir.

By jyhong

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May 28, 2018

A very meaningful course. It's perfect！

By Wix Z

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Apr 15, 2018

It helps me a lot. Highly recommended.

By steven c

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Apr 4, 2018

the learning process might be clarified

By brightmart

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Mar 14, 2018

practical lessons learned, very useful.

By Patrick E

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Jan 22, 2018

Very exciting and interesting material.

By Arnaud G

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Jan 10, 2018

As always with Andrew Ng, great and fun

By Wisteria

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Dec 25, 2017

Thanks for Andrew NG, very nice courses

By Soumya S

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Dec 9, 2017

Pragmatic balance of theory and hand on

By Arun R

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Nov 6, 2017

Way the content is explained in awesome

By xiaoxingyu

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Nov 5, 2017

perfect!! especially the program work!!

By Sheng W

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Sep 24, 2017

Some key points are explained very well

By Stephane J

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Aug 30, 2017

Brilliant, very clear and comprehensive

By 王特

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Aug 29, 2017

学了很多调试的技巧，迫不及待找个小的项目来练手了！！！感谢Andrew Ng！

By Jeff K

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Aug 24, 2017

I love the information about TensorFlow

By Eldar Š

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Aug 18, 2017

Very interesting and useful. Thank you!

By Wassim R

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Aug 15, 2023

Thank you. Difficult but very helpfull

By Above O

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Jul 23, 2023

really great course by Andrew and Team

By Andrey Z

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Jan 6, 2022

All so clear and interesting to watch