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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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4476 - 4500 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Kartoue M D

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Sep 18, 2017

Very interesting course!

By Sl4er

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Sep 16, 2017

作业是不是有点问题，满分但是跑出的结果有点不一样

By yinling l

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Aug 20, 2017

very useful and thanks!

By Jesus F B

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Aug 17, 2017

Complete and interesting

By Frank M

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Oct 26, 2024

Great course. Godspeed!

By Pablo C B U

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Aug 25, 2021

Nice Theoretical Course

By Yongkang L

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Aug 22, 2021

very good，help me a lot

By manasa k

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Jul 18, 2021

Great course. Loved it.

By Abir G

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Jul 11, 2021

It was just amazing !!!

By Trần T T

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Apr 22, 2021

this course is amazing!

By Debrup D

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Dec 25, 2020

THANK YOU ANDREW NG SIR

By 曾建霖

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Dec 21, 2020

it is really good!!!!!!

By Gaurav K

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Oct 16, 2020

very good course to do.

By Apurv T

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Aug 26, 2020

Very informative course

By Rajesh P

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Aug 19, 2020

Very helpful course !!!

By Ashish B

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Aug 16, 2020

Thanks a lot coursera!!

By Behzad M

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Jul 21, 2020

This course is AWESOME!

By Sarvajeet H (

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Jun 29, 2020

Andrew N.G. is the best

By Francis O

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May 31, 2020

This is a great course!

By MOURAD B

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May 12, 2020

it's a good explanation

By Prem k

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May 8, 2020

learned a lot of things

By Shankar M

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May 4, 2020

Andrew Rocks as always!

By Swapneel P

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Apr 30, 2020

Well taught! Thank you!

By Geo T

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Apr 21, 2020

Excellent. Great Thanks

By Paul M

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Apr 16, 2020

Excellent, thank you !!