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

4.9
stars
62,825 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

XG

Oct 30, 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.

JS

Apr 4, 2021

Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.

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5476 - 5500 of 7,216 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Zito R

Feb 27, 2018

Excellent!

By francisco a

Feb 22, 2018

Excelente!

By zc

Jan 23, 2018

very nice!

By Nurmukhamed U

Jan 19, 2018

Well done!

By Michael M

Jan 8, 2018

Excellent!

By Jian G

Jan 3, 2018

very nice!

By 王鑫

Nov 23, 2017

very good!

By 邵洋

Nov 21, 2017

very nice!

By Daniel V

Nov 14, 2017

awesome!!!

By free_siemens

Oct 27, 2017

impressive

By Jiameng P

Oct 20, 2017

recommend!

By Panos B

Oct 18, 2017

Fantastic!

By ricky a

Oct 18, 2017

Just great

By Rui M

Oct 9, 2017

Insightful

By Fabrício M B

Oct 8, 2017

Excellent.

By Deleted A

Oct 7, 2017

Love it!!!

By ryan

Sep 24, 2017

Awesome!!!

By 黄顺亮

Sep 24, 2017

very good!

By Shikun C

Sep 20, 2017

brilliant!

By Tibor Z

Sep 20, 2017

excellent!

By 姚佳奇

Sep 14, 2017

Very good!

By fgcook

Sep 1, 2017

理解更深了一层,很好

By Richard S

Aug 24, 2017

Excellent!

By Wei W

Aug 23, 2017

very good.

By Hoa N

Aug 23, 2017

Thank you!