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 & artificial neural networks, computer vision is increasingly capable of mimicking human vision & is paving the way for self-driving cars, medical diagnosis, scanning recorded surveillance, manufacturing & 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 & 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 & 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 & 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 & 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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