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

4.9
stars
63,068 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

XG

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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.

YL

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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.

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5176 - 5200 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By 任晓华

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Aug 22, 2018

讲了深度学习优化方法，很赞

By waqas q

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Jul 23, 2018

owsome course

By pavan s

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Jul 18, 2018

Great course!

By Christopher Y

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Jul 2, 2018

Very helpful!

By James H

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Jun 2, 2018

Great course.

By Fabrice L

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May 22, 2018

Great course!

By Bonson S M

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May 14, 2018

Great course!

By futoshi k

•

Apr 30, 2018

Great course!

By Aruna J

•

Feb 15, 2018

Learned a lot

By Xiao

•

Feb 5, 2018

Great course!

By Oleksii N

•

Jan 28, 2018

Great course!

By Frank_Cai

•

Jan 18, 2018

thanks Andrew

By Ale D

•

Jan 14, 2018

Really useful

By Adam P

•

Jan 8, 2018

Great course.

By wangqiang

•

Dec 21, 2017

非常不错。真的很不错。。。

By Qianlong Q

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Dec 21, 2017

The best one!

By Zi L

•

Dec 18, 2017

Super helpful

By Prasad P

•

Dec 5, 2017

Great course!

By Mikhail O

•

Nov 30, 2017

Great course!

By Ajay P

•

Nov 23, 2017

good and best

By Corrado S

•

Nov 10, 2017

Thanks Andrew

By Arun S

•

Nov 4, 2017

Great course!

By Nikhil J

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Oct 25, 2017

excellent !!!

By Andrew N

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Oct 23, 2017

Great course!

By 杨骏垒

•

Oct 21, 2017

Great course!