Uploaded February 2022 | Updated September 2026, 2 weeks ago
This video provides you with a complete tutorial on convolutions.
This tutorial is meant to help you learn the basics of convolutions. We do not assume any
prior knowledge of Python or related Computer Vision technologies.
Our videos help software developers, deep learning practitioners, entrepreneurs,
and students with computer vision and deep learning.
If you liked this video feel free to check out pyimagesearch.com for
more background or details that might be helpful to you.
We post a new video every week, so, subscribe to make sure you don’t miss any
updates and as always, thanks for watching, liking, and sharing our content.
TOPICS:
Learn about convolutions
Matrix cross-correlation and convolutions
Introduction to convolutions
CODE LINK:
pyimagesearch.com/pyuni/#collapse1
OUTLINE:
0:00 - Introduction
1:00 - Traditional image processing vs convolutions
2:37 - Math behind convolutions
4:07 - Conclusion
SOCIAL MEDIA:
Facebook: facebook.com/pyimagesearch
Twitter: twitter.com/PyImageSearch
LinkedIn: linkedin.com/company/pyimagesearch
This video provides you with a complete tutorial on convolutions.
This tutorial is meant to help you learn the basics of convolutions. We do not assume any
prior knowledge of Python or related Computer Vision technologies.
Our videos help software developers, deep learning practitioners, entrepreneurs,
and students with computer vision and deep learning.
If you liked this video feel free to check out pyimagesearch.com for
more background or details that might be helpful to you.
We post a new video every week, so, subscribe to make sure you don’t miss any
updates and as always, thanks for watching, liking, and sharing our content.
TOPICS:
Learn about convolutions
Matrix cross-correlation and convolutions
Introduction to convolutions
CODE LINK:
pyimagesearch.com/pyuni/#collapse1
OUTLINE:
0:00 - Introduction
1:00 - Traditional image processing vs convolutions
2:37 - Math behind convolutions
4:07 - Conclusion
SOCIAL MEDIA:
Facebook: facebook.com/pyimagesearch
Twitter: twitter.com/PyImageSearch
LinkedIn: linkedin.com/company/pyimagesearch










