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

4.9
stars
63,245 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

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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4026 - 4050 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

By sujitha k

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Aug 9, 2019

Made NN really easy to understand !

By Li Y

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Aug 4, 2019

This course is very helpful for me.

By Johan R

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Jun 22, 2019

Just right level and very enjoyable

By Dmitry M

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Apr 9, 2019

Excellent and understandable course

By Sidhant P

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Mar 7, 2019

It was a great learning experience.

By Y S s

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Feb 26, 2019

Thank you for this wonderful course

By Hussam K

•

Feb 19, 2019

Amazing course with perfect teacher

By Thành N

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Oct 9, 2018

good. but i need more tensorflow :D

By XUXIONGXIAO

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Sep 22, 2018

Great course! Thank you! Andrew Ng!

By Mohsen K

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Sep 5, 2018

Great course with excellent content

By C9R

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Aug 19, 2018

给出调参的一些经验性指导，并且课程内容非常的直观形象，有助于加深理解。

By Bluove

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Jul 11, 2018

非常好的课程，使得我能在最短的时间内得到关于机器学习最正确最多的认识。

By VEMULAMANDA S K P V

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May 23, 2018

Concepts are explained very well :)

By Mohit A

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Apr 2, 2018

One of the best courses I ever had.

By Athul R

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Mar 15, 2018

Make the assignments more rigourous

By keerthivasan A

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Feb 20, 2018

Nice course to understand NN model.

By Stephen W

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Feb 11, 2018

awesome course, highly recommended.

By Imran Y

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Feb 4, 2018

Extremely useful practical advices.

By Hongjian H

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Dec 24, 2017

Very useful and excellent lectures!

By Radhakrishna J

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Dec 16, 2017

Best course to start Deep Learning.

By David H C

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Nov 22, 2017

Amazing Tips, Andrew Ng is the best

By William M

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Sep 30, 2017

Great followup to the first course!

By Deleted A

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Sep 22, 2017

Extremely useful, also challenging.

By Martin J

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Sep 6, 2017

Great coverage of parameter tuning.

By Tom M

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Aug 24, 2017

Solid material for Deep Neural Nets