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.
Offered By
An Introduction to Practical Deep Learning
IntelAbout this Course
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Learner Career Outcomes
25%
started a new career after completing these courses
25%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Learner Career Outcomes
25%
started a new career after completing these courses
25%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 17 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Offered by
Intel
The Intel® Developer Zone offers tools and how-to information to enable cross-platform app development through platform and technology information, code samples, and peer expertise in order to help developers innovate and succeed. Join communities for the Internet of Things, Artificial Intelligence, Virtual Reality, Persistent Memory & Game Dev to download tools, access dev kits, share ideas with like-minded developers, and participate in hackathons, contests, roadshows, and local events.
Syllabus - What you will learn from this course
5 hours to complete
Introduction to Deep Learning and Deep Learning Basics
5 hours to complete
4 videos (Total 64 min), 3 readings, 1 quiz
4 hours to complete
Convolutional Neural Networks (CNN), Fine-Tuning and Detection
4 hours to complete
4 videos (Total 44 min), 2 readings, 1 quiz
3 hours to complete
Recurrent Neural Networks (RNN)
3 hours to complete
2 videos (Total 20 min), 1 reading, 1 quiz
2 hours to complete
Training Tips and Multinode Distributed Training
2 hours to complete
3 videos (Total 18 min), 2 readings, 1 quiz
Reviews
TOP REVIEWS FROM AN INTRODUCTION TO PRACTICAL DEEP LEARNING
by AAJul 11, 2020
It is a challenge for me to devote time and attend the course in spite of the administrative works. I had a different experience in learning. All the lectures were well presented and with quality.
by ABOct 10, 2019
I thank Coursera and the instructors for guiding through the basics of Deep Learning. The explanations were easy to understand, and would recommend this course to enthusiasts.
by MEFeb 21, 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 BNJan 23, 2021
Exceptional course by exceptional people Really clarified my understanding of deep learning\n\nTruly awesome course
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