REGINNA 4.0 Third Summer School: «Deep Tech training on Industry 4.0, Artificial Intelligence, Nanotechnology and Entrepreneurship»

Introduction to Convolutional Neural Networks and its application in Computer Vision

12 Apr 2024, 14:30

1h 30m

204A (University of Leon)

Speaker

Mr Eduardo Fidalgo Fernández

Description

Syllabus outline:
1. Neural Networks. Slides: 15 minutes
2. Image Convolution. Slides: 15 minutes
3. Convolutional Neural Networks. Slides: 35 minutes.
4. Issues with CNNs: 15 minutes
5. Some applications: 10 minutes

Objective competences:
1. Know the concept of convolution and its applications in image processing.
2. Identify the building blocks of a Neural Network and a Convolutional Neural Network.
3. Learn to use pretrained CNNs to get descriptors to classify images

Intended learning outcomes:
1. To know the basics about image convolution
2. To learn what a -neural Network is and its main concepts (neuron, layer, etc.).
3. To define how a Convolutional Neural Network works and its basic building blocks

Presentation materials

REGINNA 4.0 Third Summer School_Introduction to Convolutional Neural Networks and its Application in Computer Vision_Eduardo Fidalgo

REGINNA 4.0 Third Summer School_Introduction to Convolutional Neural Networks and its Application in Computer Vision_Eduardo Fidalgo.mp4

REGINNA 4.0 Third Summer School_Introduction to Convolutional Neural Networks and its Application in Computer Vision_Eduardo Fidalgo.pdf