Guest Lecture: Introduction to Deep Neural Networks
Date:
In this invited guest lecture, I presented a comprehensive introduction to Deep Neural Networks (DNNs) to undergraduate students in the ECEN5773 - Intelligent Systems course at Oklahoma State University. The goal was to give students both theoretical foundations and a practical perspective on how modern DNN architectures are designed and applied across domains.
Topics covered:
- Historical evolution of neural networks and AI winters
- Transition from shallow to deep neural networks
- Supervised learning and feature extraction
- Convolutional Neural Networks (CNNs)
- Architectures: LeNet, AlexNet, VGG16, GoogLeNet, ResNet, DenseNet
- Applications of DNNs in fields such as medical diagnosis, object detection, autonomous driving, and image translation
Instructor:
Prof. Gary G. Yen, Regents Professor, OSU
Acknowledgment:
The speaker acknowledged contributions from Dr. Yao Zhou (Sichuan University, China), whose original slides were adapted for this talk.