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

4.9
stars
63,477 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

AA

Oct 22, 2017

Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course

MD

May 5, 2018

Would have liked to see the math and more complete explanations for all the things that Prof. Ng glosses over by saying "you don't really need to understand XYZ". Even if this material was optional.

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4226 - 4250 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Masoud M H

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Apr 25, 2020

Very good practical assingment

By Ratnakar M

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Feb 2, 2020

Glad to have done this course.

By Karan A

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Jan 26, 2020

Notebooks didn't work properly

By Hubert S

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Dec 5, 2019

Excellent content thanks a lot

By Eugene L

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Nov 29, 2019

Overall great and substantive.

By 曹世朋

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Oct 12, 2019

没想到我也能用自行推导Adam，真是太酷了，谢谢吴恩达老师！

By Koosup

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Aug 5, 2019

hyperparameter에 대해 잘 배울수 있었습니다

By Han

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Jul 31, 2019

Excellent materials as always.

By Bohdan B

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Jul 15, 2019

Andrew Ng my favorite lecturer

By claudius t

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Jun 3, 2019

This course is EXCEPTIONAL!!!

By Alper B

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Mar 23, 2019

this is best course i've taken

By Ishaan

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Mar 6, 2019

very nice course i loved it :)

By Tayeb B

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Feb 10, 2019

Best deep learning course ever

By 江逸群

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Jan 9, 2019

Thanks so much for this course

By gangadhar a

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Jan 4, 2019

Great Learning . Thanks a Lot

By Anqi M

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Oct 19, 2018

Amazing. The more, the better!

By Emmanuel R

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Jun 19, 2018

Very interesting and practical

By ismael B

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Apr 28, 2018

great course! thank you Mr. ng

By Jelmer O

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Mar 22, 2018

Amazing course, very in depth!

By Liang X

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Mar 11, 2018

Got so many practical skills.

By Mischa L

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Feb 10, 2018

Excellent intermediate course!

By Martin W

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Sep 24, 2017

Really nice described concepts

By Huaiwei C

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Aug 21, 2017

Very Useful and easy to learn!

By Arthur C

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Aug 20, 2017

Great practical class. Thanks!

By Dr. M S

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Dec 3, 2023

Awesome course. Much learning