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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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4276 - 4300 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Илья В

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Mar 23, 2021

Очень хороший курс, Спасибо!

By 이지평

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Feb 17, 2021

Good Tutorials for beginners

By Dafne N C T

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Dec 31, 2020

Excelent. I'm learning a lot

By Guofeng L

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Dec 16, 2020

明明课程已经完结了，为什么开启不了此专项课程的下一门课？

By ali o

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Sep 29, 2020

Very helpful, thanks Andrew.

By Unnat T

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Sep 21, 2020

good learning experience....

By raktim m

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Aug 27, 2020

This course is very helpful.

By anuj g

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Aug 5, 2020

great content best professor

By Arkadip M

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Jul 10, 2020

Great course, very detailed.

By Avinoor S K

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Jul 3, 2020

great course for learning nn

By Nikhil K

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Jul 1, 2020

This course is just awesome!

By MOHSIN A

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Jul 1, 2020

thank you, Prof.AndrewNg sir

By Shehan S

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May 31, 2020

Wonderful course. Thank you.

By Md. F B R

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May 30, 2020

Love you 2 sir Andrew Ng. <3

By Parmar A S

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May 10, 2020

Fabulous must learn once...!

By Shivanand

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May 9, 2020

Great assignment and quizzes

By prarabdh r 1

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Apr 25, 2020

nice course..short and crisp

By Priyansh K

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Mar 25, 2020

nice course and very helpful

By Zhuoran L

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Dec 17, 2019

like Andrew Ng very much!!!!

By Bica V A d S

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Dec 12, 2019

I love how you teach newbies

By Rajeev R

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Jun 20, 2019

Its again a very useful one.

By Artem D

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Jun 10, 2019

Very interesting and useful!

By Varun

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Jun 4, 2019

Nice course, one must do it.

By Ayon B

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Mar 19, 2019

Good explanation of concepts

By Claudio C

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Feb 17, 2019

very useful also for experts