Chevron Left
Back to An Introduction to Practical Deep Learning

Learner Reviews & Feedback for An Introduction to Practical Deep Learning by Intel

4.3
57 ratings
13 reviews

About the Course

This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading. You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics....
Filter by:

1 - 13 of 13 Reviews for An Introduction to Practical Deep Learning

By RAMA R R

Apr 01, 2019

Thank you Intel and Coursera

By Ehtesham H

Feb 13, 2019

Excellent learning experience. Thank you...

By Emil L

Sep 25, 2018

A very dense and informative course.

By Brad C

May 13, 2018

Love this course!! Thanks.

By Anirban L

Aug 09, 2019

Awesome experience

By Mohammed S E

Feb 22, 2019

well it has been a good course for me to get an overall view on Deep learning , but there was so much information in every video that was hard to grasp from the first time

By Ambar R

Mar 26, 2019

very good

By Dongliang Y

Jul 30, 2018

Great course

By Praveen k

Apr 28, 2019

No projects! The knowledge level is good though.

By Gunjan B

Jun 24, 2019

Tough Enough To Remove Dust Of Time From Your Brain. Quizes Were Good Brain Exercise

By Shubham r

Oct 20, 2018

Good for theory knowledge , but very low in practical knowledge

By Raveesh G

Jul 07, 2019

The theoretical aspect is good for those aiming at basics but the neon exercises are average. The data sets should be readily imported or there should at least be one standard method to import any kind of data set. Except for this part, the exercises complemented the videos.

By Ramakrishna B C

Apr 05, 2019

This course is not worth the time and money. I would suggest doing any of courses in the Andrew Ng's deeplearning.ai specialization instead. No programming assignments that's evaluated here. No instructor or TA are active in the forums. No questions are answered in the discussion forums. Many courses in deep learning are available online where you can actually learn something by getting hands-on.