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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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4426 - 4450 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Murtaza V

•

Jan 28, 2020

Great Learning Experience

By Amlan S

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Sep 18, 2019

very good course. 100/100

By Petteri T

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Sep 17, 2019

Excellent course again :)

By Martin Z

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Dec 30, 2018

Absolutely fantastic! :-)

By Renjie T

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Nov 29, 2018

Great Course! Appreciate!

By Bo Y

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Oct 30, 2018

Very useful and practical

By Radoslav D

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Oct 17, 2018

Outstanding! Very useful!

By Ilias P

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Sep 5, 2018

(^_^) (^_^) (^_^)

By Dequan E

•

Jul 14, 2018

very instructive material

By KUN Q

•

Jun 19, 2018

Absolutely useful course.

By Stephen B

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Jun 10, 2018

Great intro to TensorFlow

By Mohan S

•

Jan 22, 2018

Very Good Course to take.

By 训强 陶

•

Jan 8, 2018

Thank you for your class.

By Ariful I M

•

Oct 31, 2017

very good course. enjoyed

By Li L

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Oct 26, 2017

Very interesting projects

By WANG G

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Oct 22, 2017

Thanks, it's very useful.

By Nikolai K

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Oct 3, 2017

Great intro to tensorflow

By Jihoon K

•

Oct 2, 2017

Incredibly nice as usual!

By sonyfe25cp

•

Sep 30, 2017

very nice course! Thanks!

By Christian H

•

Sep 29, 2017

short but nice overview !

By 卢润坤

•

Sep 13, 2017

very good， very helpful!

By Diego V

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Sep 12, 2017

Great introduction to TF!

By Hemant B

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Sep 8, 2017

great course, worth doing

By Jelena M S

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Jul 26, 2022

Great and useful course!

By Tuan N

•

Jul 18, 2022

thank you instructors <3