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

4.9
stars
63,231 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

NA

Jan 13, 2020

After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.

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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5701 - 5725 of 7,258 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By Alexander S

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Jun 27, 2019

Awesome!

By Jose A P L

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Jun 21, 2019

Perfecto

By Shimin Z

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Apr 22, 2019

学习到了很多知识

By Lucifer Z

•

Mar 28, 2019

awesome!

By 刘少凡

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Mar 9, 2019

Wondeful

By Yash C v

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Feb 3, 2019

Awesome.

By yaomingshan

•

Jan 25, 2019

感谢Angrew

By Reshinth A

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Dec 29, 2018

The best

By Sagar J

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Dec 11, 2018

awesome!

By Javier S F

•

Dec 1, 2018

Awesome!

By 杜忠莲

•

Nov 10, 2018

perfect！

By Ashutosh P

•

Nov 3, 2018

Awesome!

By Saichand D

•

Oct 17, 2018

Amazing!

By Stefan N

•

Aug 13, 2018

Spot on!

By 喆 李

•

Apr 29, 2018

Asesome!

By 张子昂

•

Apr 25, 2018

The Best

By neozgx

•

Apr 6, 2018

很不错，通俗易懂

By Adit K

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Mar 23, 2018

loved it

By Tim K

•

Mar 3, 2018

Love it.

By Sarah W

•

Feb 18, 2018

Awesome!

By Bharath

•

Dec 29, 2017

Best yet

By mier

•

Dec 13, 2017

awesome!

By Thar M H

•

Nov 6, 2017

Awesome!

By Ke L

•

Oct 23, 2017

exciting

By Abhijeet R P

•

Oct 12, 2017

Best! :D