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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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4226 - 4250 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By gangadhar a

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Jan 4, 2019

Great Learning . Thanks a Lot

By Anqi M

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Oct 19, 2018

Amazing. The more, the better!

By Emmanuel R

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Jun 19, 2018

Very interesting and practical

By ismael B

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Apr 28, 2018

great course! thank you Mr. ng

By Jelmer O

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Mar 22, 2018

Amazing course, very in depth!

By Liang X

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Mar 11, 2018

Got so many practical skills.

By Mischa L

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Feb 10, 2018

Excellent intermediate course!

By Martin W

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Sep 24, 2017

Really nice described concepts

By Huaiwei C

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Aug 21, 2017

Very Useful and easy to learn!

By Arthur C

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Aug 20, 2017

Great practical class. Thanks!

By Dr. M S

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Dec 3, 2023

Awesome course. Much learning

By Phil M

•

Nov 3, 2023

Great started for AI learning

By Ata M

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Mar 19, 2023

Great Instructor, nice course

By Ngọc L L

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Sep 18, 2021

Powerful course, tks so much!

By Djamel M

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May 18, 2021

Very good course by Andrew Ng

By Mudit G

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Nov 22, 2020

Very detailed oriented course

By Sairengpuia S

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Sep 18, 2020

The course is really awesome.

By Mario L S D

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Sep 17, 2020

Very Useful course. Thank you

By Sanket D

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Aug 9, 2020

Very Informative and Detailed

By Dawood I

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Jun 3, 2020

Can`t get any better. Awesome

By Shashti K N M

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May 30, 2020

This was an excellent course.

By Tariq M

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May 17, 2020

Thank You to all team members

By Jaeyong J

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May 9, 2020

Great lecture with exercises!

By Byambadorj M

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May 6, 2020

a great course for beginners.

By Eleonora

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Apr 18, 2020

Clear and practical, loved it