29 Feb - 01 Mar 2024
The Power of AI Computer Vision: Understanding the World & Automating Work
Timings
9:00 AM - 5:00 PM (Feb 29) (Public)
Entry Fees
Paid Ticket Starts from 4000 MYR
Estimated Turnout
Delegates
Event type
Workshop
Description
Explore the Boundaries of Artificial Intelligence and Computer Vision in Our Comprehensive Course
Dive into the dynamic field of AI and computer vision with our in-depth course, designed for those eager to understand and leverage the power of AI in automating tasks and interpreting the visual world. This course is ideal for anyone looking to grasp the essentials and advanced techniques of artificial intelligence and machine learning, as well as understanding the intricate process of computer vision.
Participants will gain firsthand knowledge of how to construct and enhance models with precision, leveraging the innovative Tapway labeling tools. From distinguishing between various project types to deploying your model using Tapway deployment options, this course covers it all. You’ll not only learn the technical skills but also receive valuable insights into best practices and tips to excel in this rapidly advancing field.
Key highlights of the course include:
- Foundation of computer vision and its difference from artificial intelligence and machine learning
- Insightful dive into real-world applications of computer vision
- Step-by-step guide on building, training, and improving AI models
- Detailed exploration of Tapway labeling tools and deployment options
- Effective strategies for choosing the right project types
- Best practices and expert tips for enhancing model performance, including analysis of precision and recall, segmentation, object detection systems, and understanding confidence scores
Suitable for individuals in Malaysia with a keen interest in IT & Technology, Artificial Intelligence, Education & Training, and Computer Vision, this course aims to equip you with the knowledge and skills needed to excel in the domain of AI computer vision. Whether you're interested in classification, inference, model training, or performance improvement, this course has something valuable for everyone.