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

4.9
stars
63,156 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

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.

HD

Dec 5, 2019

I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.

the only thing i didn't have completely clear is the barch norm, it is so confuse

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5026 - 5050 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Roman I

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Feb 6, 2018

Awesome course.

By Thiago B

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Jan 28, 2018

Perfect course!

By Aniket P

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Dec 25, 2017

Great course!!!

By Jurgen R

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Dec 22, 2017

Awesome course!

By Andrii L

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Dec 12, 2017

Awesome course!

By Jeff X

•

Dec 6, 2017

终于学懂了！多谢Andrew！

By Ruoying X

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Nov 19, 2017

Very intuitive!

By lixiang

•

Nov 17, 2017

very wonderful!

By SWARUP K G

•

Nov 16, 2017

A great course.

By Christina Y

•

Nov 15, 2017

Awesome course!

By Juan D

•

Nov 13, 2017

Excelente curso

By Stoyan A

•

Nov 1, 2017

Great material.

By 刘竞博

•

Oct 29, 2017

could be useful

By Rashid A

•

Oct 29, 2017

Awesome course!

By Siddhartha J

•

Oct 27, 2017

Great course !!

By jocundhang

•

Oct 15, 2017

对提高模型的正确率有很大的帮助

By Ripunjoy G

•

Oct 11, 2017

Great teaching.

By 小林Andy

•

Oct 6, 2017

介绍了很多新的知识，非常有帮助

By Limber

•

Sep 28, 2017

Really helpful.

By Paddy M

•

Sep 17, 2017

Very practical.

By Gowri S

•

Sep 9, 2017

Awesome Course.

By Ce J

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Sep 5, 2017

really helpful~

By Xuan L

•

Aug 25, 2017

Great tutorial!

By Zhi H

•

Aug 20, 2017

very practical!

By Jia Y

•

Aug 14, 2017

Very good MOOC!