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

4.9
stars
62,857 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

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

XG

Oct 30, 2017

Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.

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5726 - 5750 of 7,218 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Prabhat K M

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Mar 1, 2020

Amazing

By Lydienne K

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Feb 11, 2020

Thanks.

By Thành C V

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Oct 22, 2019

Great!!

By Eman L E

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Sep 1, 2019

Great !

By taeha k

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Aug 18, 2019

Good~~!

By Prasenjit K

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Jul 26, 2019

So Good

By 龚华君

•

Jul 18, 2019

Ok 收获良多

By Xiang D

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Jul 5, 2019

学到很多 谢谢

By Khaled G

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Jul 4, 2019

Great !

By Qiusi L

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May 29, 2019

perfect

By ChenTianyi

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Mar 31, 2019

amazing

By 唐章源

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Mar 27, 2019

perfect

By BEDOURET

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Mar 4, 2019

Super !

By Abhishek

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Jan 21, 2019

awesome

By Hassan E

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Jan 12, 2019

Amazing

By Sanket G

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Dec 20, 2018

Awesome

By Harkirat S A

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Dec 3, 2018

Awesome

By Dhruv D B

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Nov 28, 2018

Awesome

By anamika m

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Nov 25, 2018

awesome

By zhuziye

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Nov 19, 2018

perfect

By Vijesh R

•

Oct 18, 2018

Nice :)

By baizhaofeng

•

Sep 7, 2018

一如既往的优秀

By YOLOV3

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Aug 28, 2018

Thanks!

By Mehmet A N

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May 13, 2018

perfect

By Jacques F

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May 5, 2018

perfect