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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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5076 - 5100 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Hrithik P

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Mar 18, 2020

Awesome Course

By Gogogo

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Mar 16, 2020

Great lecture!

By Avishek S

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Jan 28, 2020

Good learning!

By Chency

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Jan 22, 2020

I learnt a lot

By Charith N B

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Jan 14, 2020

simply awsoeme

By Mayank S

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Oct 22, 2019

Awesome Andrew

By Carolyn X

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Sep 13, 2019

Great content!

By reza p

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Sep 4, 2019

so good course

By Sathish S

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Jul 18, 2019

Coursera is #1

By Gluon I

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May 24, 2019

great learning

By guofei

•

May 24, 2019

Very Helpful !

By Naveen N

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May 21, 2019

Great Content!

By Eero L

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Apr 26, 2019

Great content.

By 刘培臻

•

Apr 23, 2019

very good！！！！！

By Siddharth S

•

Mar 8, 2019

Simply Awesome

By mprc_liu

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Mar 4, 2019

very very good

By Alyssa G

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Feb 20, 2019

wonderful！！！！！

By AlexZhao

•

Jan 7, 2019

Awesome course

By Manish N

•

Dec 13, 2018

great learning

By ahmed a s

•

Nov 26, 2018

Super awesome!

By Yousef E

•

Oct 25, 2018

Thank you alot

By Reda O

•

Sep 19, 2018

Great content!

By Yu-Shun M

•

Aug 22, 2018

Good course!!!

By Hemant S

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Aug 14, 2018

Exceptional !!

By John G

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Aug 5, 2018

Very practical