Introduction to Convolutional Neural Networks - Part I - Lecture 8

Explore the fundamentals of Convolutional Neural Networks (CNNs) in this introductory lecture from the University of Central Florida's CAP5415 Computer Vision course. Delve into key concepts such as super resolution, AlexNet 2012, and natural language processing applications of CNNs. Examine the general architecture of these powerful deep learning models and gain insights through practical examples and a Q&A session. This lecture serves as a foundation for understanding how CNNs revolutionize computer vision tasks, including image classification, object detection, and segmentation.

Introduction
Examples
Super Resolution
Questions
Alexnet 2012
Natural Language Processing
General Architecture
Questions Answers