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

4.9
stars
63,245 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

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.

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4401 - 4425 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Jerome Z

•

Oct 14, 2018

Cool class and very useful

By 李均强

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Sep 24, 2018

the course is really great

By Timothy w N

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Jul 23, 2018

Grader issues, frustrating

By Jisheng L

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Jun 15, 2018

Good course, easy to learn

By Camilo A

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May 27, 2018

Andrew is a great teacher.

By Shaoqing Y

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Apr 11, 2018

Very good series of course

By Matthias P

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Apr 4, 2018

In depth! Learned so much!

By Yasser K

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Mar 29, 2018

Excellent course as usual!

By Inderjeet S

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Mar 2, 2018

Great course.Thanks Andrew

By Ali E

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Feb 13, 2018

Great intro to Tensorflow!

By Steffen R

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Jan 25, 2018

that is just simply great!

By Anwarvic

•

Dec 30, 2017

The course is so organized

By GRA V

•

Dec 6, 2017

very nice !! thanks Andrew

By Xiao M

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Nov 10, 2017

nice course, learnt a lot!

By Bobby

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Oct 19, 2017

I love it, very insightful

By Chuck M

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Oct 4, 2017

Valuable practical advice.

By 周悦喜

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Sep 24, 2017

very good ! learned a lot

By Tyler M

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Sep 23, 2017

Great intro to TensorFlow!

By Charles X

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Sep 22, 2017

intuitive: from why to how

By Tony Y

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Aug 23, 2017

very good tuning approach.

By Phước T L

•

Oct 3, 2023

Perfect ,Course very good

By Ingmar H

•

Jun 30, 2022

please next level now :)

By Namrata S

•

Jan 1, 2022

Very well curated course.

By muhammed n p

•

Nov 17, 2021

informative and enganging

By Abhinav S

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Aug 30, 2021

Highly knowlegable course