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Introduction to Convolutional Neural Networks - Part I - Lecture 8

Offered By: University of Central Florida via YouTube

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Computer Vision Courses Deep Learning Courses Object Detection Courses Image Classification Courses Image Processing Courses Image Segmentation Courses Super-Resolution Courses

Course Description

Overview

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.

Syllabus

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


Taught by

UCF CRCV

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