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Back to Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

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

NC

Jun 3, 2018

Just as great as the previous course. I feel like I have a much better chance at figuring out what to do to improve the performance of a neural network and TensorFlow makes much more sense to me now.

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5851 - 5875 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Andrei S

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Apr 12, 2018

Great!

By Binqiao.Zhang Z

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Mar 6, 2018

thanks

By Sonali A D

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Feb 23, 2018

Superb

By coursera1

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Jan 21, 2018

thanks

By gaozhipeng

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Dec 15, 2017

超棒的课程！

By Mike R

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Oct 28, 2017

GREAT!

By Sicheng Z

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Oct 26, 2017

Great!

By Tamay A

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Oct 17, 2017

Great!

By George Z

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Sep 23, 2017

Greate

By John P

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Sep 22, 2017

Great!

By savinay s

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Sep 10, 2017

Thanks

By Marek O

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Aug 29, 2017

Great!

By 陈杨

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Aug 19, 2017

Greet!

By John C

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Aug 17, 2017

superb

By Tung L D

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Jan 31, 2025

great

By Diego C C

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Dec 27, 2024

great

By 5989_RINKESH K S

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Aug 21, 2024

great

By Debarshi D

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Sep 16, 2021

Epic!

By 姚和

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Jul 26, 2021

nice!

By V??ng N

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Apr 16, 2021

great

By Choon C N

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Jan 31, 2021

nice!

By crownZ

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Sep 22, 2020

驳辞辞诲！

By Adithya T R

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Aug 25, 2020

Nice.

By Dung H N

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Jun 25, 2020

great

By Tushar S

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Jun 14, 2020

best.