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.
An Introduction to Practical Deep Learning
An Introduction to Practical Deep Learning
Instructors: Andres Rodriguez
Sponsored by Coursera Learning Team
22,841 already enrolled
Gain insight into a topic and learn the fundamentals.
4.3
(149 reviews)
Intermediate level
Some related experience required
17 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
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Assessments
5 assignments
Taught in English
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There are 6 modules in this course
What's included
4 videos3 readings1 assignment4 ungraded labs
What's included
4 videos2 readings1 assignment3 ungraded labs
What's included
2 videos1 reading1 assignment2 ungraded labs
What's included
3 videos2 readings1 assignment1 ungraded lab
What's included
3 videos2 readings1 ungraded lab
What's included
1 assignment
Instructors
Instructor ratings
4.5 (24 ratings)Offered by
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Learner reviews
4.3
149 reviews
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Showing 3 of 149
AB
5
Reviewed on Oct 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.
MS
4
Reviewed on Feb 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
GB
4
Reviewed on Jun 23, 2019
Tough Enough To Remove Dust Of Time From Your Brain. Quizes Were Good Brain Exercise
Recommended if you're interested in Computer Science
Sungkyunkwan University
Imperial College London
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