Machine Learning with Python: Image Classification Online
Learn Image Classification at this workshop, where we delve into image recognition using the PyTorch framework. Whether you're a novice or have some prior experience in machine learning, this workshop is tailored to help you grasp the essentials of building image classification model.
Workshop Learning Outcomes: Participants will gain an understanding of the fundamentals of image classification and learn data augmentation techniques to enhance model accuracy
Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre's Online Learning Catalogue.
Facilitator Bio:
Amirreza is a master's student in the Electrical and Computer Engineering department at McMaster University. He works as part of the DASH Team, providing data analytics consultations and conducting workshops in various domains of machine learning and programming. Engaged in the intricacies of the artificial intelligence domain, his focus lies in the realms of Computer vision, Statistical analysis and Large language models. He has a strong knowledge of Python and an understanding of other languages such as MATLAB and R. Deliberate and methodical, he approaches programming with a keen eye for detail, striving to develop algorithms that navigate the complexities of the field.
- Date:
- Friday, December 6, 2024
- Time:
- 4:00pm - 5:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Everyone
- Categories:
- DASH SCDS Sponsored Events Workshops
CODE OF CONDUCT
The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.