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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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5501 - 5525 of 7,283 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Thomas G

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Sep 3, 2018

Excellent!

By kevin E

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Aug 27, 2018

Pure Gold.

By 胡炜瑜

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Aug 25, 2018

I like it!

By David

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Aug 15, 2018

Brilliant!

By 蔡昇材

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Jul 25, 2018

excellence

By Mingyi Z

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Jul 6, 2018

insightful

By Roushan K

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Jun 12, 2018

Excellent!

By Samkit S

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Jun 5, 2018

Excellent!

By Liu Z

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May 10, 2018

wonderful!

By Anan

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May 6, 2018

吴恩达老师讲的很好。

By codeit

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May 2, 2018

Excellent!

By 张超溢

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May 2, 2018

excellent!

By Imran I

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May 1, 2018

Excellent.

By Jack L

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Mar 25, 2018

tremendous

By 任玉武

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Mar 15, 2018

very good!

By Predrag S

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Mar 10, 2018

Excellent.

By 郑毅腾

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Mar 2, 2018

飞辞苍诲别谤蹿耻濒！

By Zito R

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Feb 27, 2018

Excellent!

By francisco a

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Feb 23, 2018

Excelente!

By zc

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Jan 24, 2018

very nice!

By Nurmukhamed U

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Jan 19, 2018

Well done!

By Michael M

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Jan 9, 2018

Excellent!

By Jian G

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Jan 3, 2018

very nice!

By 王鑫

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Nov 23, 2017

very good!

By 邵洋

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Nov 22, 2017

very nice!