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

4.9
stars
63,482 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

RR

Jun 13, 2020

Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video

AA

Oct 23, 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

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5326 - 5350 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Soumik R

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Jul 14, 2018

Great Course

By Osama A

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Jun 10, 2018

Great Course

By AyaHamdy

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May 26, 2018

Great Course

By Hao D

•

Apr 24, 2018

Nice course!

By Mark L

•

Apr 23, 2018

great course

By 郑晨斌

•

Apr 9, 2018

Very useful！

By Katrina C

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Mar 25, 2018

Many Thanks!

By Yaxin L

•

Mar 7, 2018

very helpful

By Mithilesh K S

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Jan 30, 2018

Great course

By joris l

•

Jan 23, 2018

Really good!

By 郭玮

•

Dec 26, 2017

Nice course!

By PRALAY P

•

Dec 25, 2017

Great Course

By 陆恒

•

Dec 12, 2017

非常喜欢Andrew的课

By Roussel R

•

Dec 3, 2017

Loved it. :*

By 栗韶远

•

Nov 27, 2017

Great Course

By R11

•

Nov 21, 2017

Very helpful

By Ho Y C

•

Nov 18, 2017

Excellent!!!

By Melvin E

•

Oct 8, 2017

excellent!!!

By Manuel T

•

Oct 2, 2017

Great course

By Amar g

•

Sep 29, 2017

Great course

By spencer z

•

Sep 28, 2017

great course

By Xinyu W

•

Sep 10, 2017

Great class!

By Peng J

•

Aug 24, 2017

Learn a lot.

By Xu B

•

Aug 21, 2017

great course

By phung h x

•

Aug 13, 2017

great course