About
On November 15th, VTC Academy will hold an AI Seminar event with the aim of helping attendees gain more understanding of the features of computer vision through object identification and alignment applications and collage, 2D & 3D photo recovery, etc.
With the theme “Computer Vision-based & Deep Learning-based features in digital image processing”, VTC Academy wants to help the community interested in Artificial Intelligence in Vietnam – including those who are studying. interns, working in the IT industry in general and programming in particular – the business community is looking forward to applying Artificial Intelligence to have more useful knowledge about Computer Vision as well as sharing ideas about prominent features in a digital image such as point, line, edge, boundary, region, blob, and corner.
Attendees
About 500 attendees.
Agenda
8h30 – 9h00: Check in and Opening
9:00 – 9:05: Introducing speaker Tran Anh Tuan – Doctor of Computer Science, Head of Intellectual Technology Department at VTC Academy
9h05 – 10h15: Talkshow “Computer Vision-based & Deep Learning-based features in digital image processing”
10h15 – 11:00: Q&A
11h00 – 11h20: Closing
On November 15, VTC Academy Ho Chi Minh City successfully organized an AI seminar with the topic: Applying the characteristics of Computer vision and Deep learning models into digital image processing.
VTC Academy would like to thank the two speakers who attended the seminar and were enthusiastic about sharing valuable knowledge to the attendees, including Mr. Tran Anh Tuan – Head of Intellectual Technology Department at VTC Academy and Ms. Mai Thi Kim Ngan – Head of Data Analysis at Shinhan Finance.
The seminar attracted many attendees from students to working brothers who were interested in the field of Artificial Intelligence (AI) in general and Computer Vision, Deep Learning in particular. Surely after the seminar, you have gained useful knowledge and in-depth insights through the main topics throughout the seminar: Application of the features of Computer Vision and Deep Learning Model digital image processing; Challenges and application opportunities in Data Analysis.
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