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PLEASE RSVP THROUGH THE EVENTBRITE FOR THE WEBINAR LINK: https://www.eventbrite.com/e/intro-to-computer-vision-part-1-classification-webinar-tickets-110889557652
Thanks to advancements in deep learning and artificial neural networks, computer vision is increasingly capable of mimicking human vision and is paving the way for self-driving cars, medical diagnosis, scanning recorded surveillance, manufacturing and much more.
In this introductory workshop, Sage Elliot will give an overview of deep learning as it related to computer vision with a focused discussion around image classification. You will also learn about careers in computer vision and who are some of the biggest users of this technology.
What You Will Learn:
- Image Classification
- What is Deep Learning
- What is Computer Vision
- Who uses Computer Vision
- Careers in Computer Vision
- Overview of common models and uses
- Transfer Learning
- Overview framework in python
- Build an image classifier
To register for part 2: https://www.eventbrite.com/e/intro-to-computer-vision-part-2-object-detection-webinar-tickets-110891698054
About Your Instructor:
Sage Elliott is a Machine Learning Developer Evangelist for Sixgill with about 10 years of experience in the engineering space. He has passion for exploring new technologies and building communities. To learn more about Sage, you can reach him here.
How to Prepare:
- Have the Zoom Client for Video Meetings installed well before the webinar begins: https://zoom.us/download
- Optional: Install HyperLabel and try labeling images with rectangles for object detection in Part 2 (https://hyperlabel.com/). A good rule of thumb is to start with 200 images.
Taught live online:
- 2 Hours – 5:30pm - 7:30pm Pacific Time
- Link to join the workshop will be provided to you once you RSVP.
We look forward to meeting you virtually!
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