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

4.9
stars
63,486 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

NC

Aug 18, 2017

Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.

BA

May 31, 2020

Very good course, useful and smart. Some of the example are on tensorflow 1 but I think that they will update them soon to keras tf2 Thank you!I will pass on what I have learned here to undergrads :)

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4251 - 4275 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Phil M

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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

•

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

By Seongwuk, H

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Apr 17, 2020

This is perfect class for me.

By Naveen S P

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Mar 30, 2020

It's Excellent experience !!!

By ding x

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Mar 10, 2020

Very good, I get much help!!!

By Ivan C

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Nov 20, 2019

very informative and thorough

By NITIN S

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Nov 17, 2019

the most important one of all

By Adrien B

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Oct 9, 2019

Every thing is cristal clear!

By sourav b

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Sep 25, 2019

Course Materials are awesome.

By Moaz M

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Jun 24, 2019

Exceptionally awesome course!

By dhananjay v

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May 3, 2019

Andrew Neg is a simple genius

By Yang G

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Jul 24, 2018

Very useful for practitioners

By 李润华

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Jul 5, 2018

good lessons, really like it!