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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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4501 - 4525 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Paul M

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Apr 16, 2020

Excellent, thank you !!

By Jun

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Feb 2, 2020

very clear explaination

By Indrajit G

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Dec 13, 2019

Great course Andrew Sir

By Ziyad S

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Oct 8, 2019

very theoritic and easy

By Junqi L

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Jun 21, 2019

Nice Course! I love it!

By Jayesh R V

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Jun 6, 2019

Very clear and precise.

By Federico A G C

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Mar 30, 2019

Fantastic in every way!

By Gabriel L

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Mar 29, 2019

another fantastic entry

By Yehua Y

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Mar 5, 2019

perfect lessons, thanks

By Anurag V

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Mar 3, 2019

Andrew NG is awesome...

By Erick A

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Feb 16, 2019

Great, really enjoy it.

By Onur A

•

Jan 22, 2019

Very instructive course

By 冯箫

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Jan 14, 2019

非常好的课程，对我未来的研究和学习帮助很大！！

By Thais C P

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Sep 10, 2018

Complex, but excellent.

By bhawana

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Aug 8, 2018

very informative course

By Line C

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Jul 10, 2018

Well structured course!

By Samuel N

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Jun 11, 2018

Good for understanding!

By BenjPau

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Jun 9, 2018

i gained a lot. thanks.

By Sunghwan B

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May 28, 2018

Thanks for this course!

By G C

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Mar 24, 2018

Interesting and useful.

By Farhad D

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Mar 20, 2018

It's completely useful.

By Tulsi J

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Mar 14, 2018

This course is awesome.

By 吴鹏

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Mar 13, 2018

Thank you,Learned a lot

By Arash A

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Jan 16, 2018

Useful and informative.

By 伍平伟

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Dec 1, 2017

课程引导很容易让人接受，建议有课程要点总结文档