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
23,032 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.3
(150 reviews)
Intermediate level
Some related experience required
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
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
150 reviews
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Showing 3 of 150
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
JM
4
Reviewed on Oct 11, 2021
It was good but more content should be added then it would be better
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