NVIDIA DLI Workshop: Deep Learning Fundamentals and Hands-on Practice

The Information Technology Education Center of the College of Innovation and Technology will host the "NVIDIA DLI: Deep Learning Fundamentals and Hands-on Practice" Workshop on July 10, 2026 (Friday). Faculty members interested in deep learning and artificial intelligence are cordially invited to participate.

Workshop Overview

Artificial Intelligence (AI) has been widely applied across various industries, including healthcare, retail, and intelligent transportation. Among AI technologies, deep learning utilizes multi-layer neural networks to achieve remarkable accuracy in tasks such as computer vision and natural language processing.

This hands-on workshop will leverage NVIDIA's cloud computing platform to guide participants through practical examples, helping them understand how deep learning models work. Participants will learn how to train models from scratch, utilize pre-trained models, and accelerate the implementation of AI solutions in real-world applications. The workshop aims to establish a solid foundation for applying AI technologies in teaching, research, and professional practice.

Event Information

Instructor: Prof. Che-Cheng Chang, Department of Information Engineering

Eligibility: Faculty Members of Feng Chia University

Date: July 10, 2026 (Friday)

Time: 9:00 AM – 4:00 PM

Venue: Room 213, Library Building

Registration: https://reurl.cc/pplRa8

Registration Deadline: July 8, 2026

Course Topics

• Introduction to Deep Learning
• How a Neural Network Trains
• Convolutional Neural Networks (CNNs)
• Data Augmentation and Model Deployment
• Pre-trained Models

Notes

• Upon completion of the workshop, attendance records will be submitted to the Faculty Achievement System based on actual participation.
• Enrollment is limited and will close once all seats are filled.
• Faculty members who are unable to register for this session may look forward to the third session, tentatively scheduled for September. Additional information will be announced separately.