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

4.9
stars
63,175 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

AM

Oct 8, 2019

I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation

CM

Dec 23, 2017

Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow

Thanks.

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5601 - 5625 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Kartik G

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Jul 7, 2019

Love it !

By Jairo A R R

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Jul 2, 2019

Excelent!

By Erie F B

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Jun 20, 2019

excellent

By Lalit M Y

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Jun 3, 2019

Excellent

By Jagannadha P N

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May 30, 2019

Excellent

By 刘盾盾

•

May 28, 2019

深入浅出，十分受益

By Aru

•

May 22, 2019

good good

By Nazarii N

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May 19, 2019

thank you

By Payne Y

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May 12, 2019

very good

By aleks j

•

Apr 22, 2019

Brilliant

By Aman W

•

Apr 3, 2019

Excellent

By Deleted A

•

Mar 31, 2019

Excellent

By Matthew J B

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Mar 29, 2019

Fantastic

By jinpengcheng

•

Feb 18, 2019

excellent

By Yannik L

•

Jan 9, 2019

Excellent

By 黄怡欣

•

Dec 11, 2018

very good

By 韩颖君

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Nov 1, 2018

VERY GOOD

By 郑睿

•

Oct 26, 2018

very well

By Pankaj P S

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Oct 6, 2018

Loved it!

By Jian H

•

Oct 2, 2018

fantastic

By SHASHANK P

•

Sep 23, 2018

EXCELLENT

By ignacio v

•

Sep 14, 2018

Ng rocks!

By Ethan

•

Sep 1, 2018

Great sir

By Al T

•

Aug 30, 2018

Excellent

By Zheng Z

•

Aug 25, 2018

Very good