Creating Deep Convolutional Neural Networks for Image Classification
Resource type
External Resource
Authors, editors and contributors
Nabeel Siddiqui, Scott Kleinman, Fabian Offert, Melvin Wevers
Topics (keywords)
DH, Open Education, Open Access, Machine Learning
Learning outcomes
After completing this lesson, you will be able to:
understand how convolutional neural networks function
train and use them to perform image classification on paintings
embed a model on live website
Abstract
This lesson provides a beginner-friendly introduction to convolutional neural networks (CNNs) for image classification. The tutorial provides a conceptual understanding of how neural networks work by using Google’s Teachable Machine to train a model on paintings from the ArtUK database. This lesson also demonstrates how to use Javascript to embed the model in a live website.
Title of the resource
Creating Deep Convolutional Neural Networks for Image Classification
Resource type
External Resource
Authors, editors and contributors
Nabeel Siddiqui, Scott Kleinman, Fabian Offert, Melvin Wevers
Topics (keywords)
DH, Open Education, Open Access, Machine Learning
Learning outcomes
After completing this lesson, you will be able to:
Abstract
This lesson provides a beginner-friendly introduction to convolutional neural networks (CNNs) for image classification. The tutorial provides a conceptual understanding of how neural networks work by using Google’s Teachable Machine to train a model on paintings from the ArtUK database. This lesson also demonstrates how to use Javascript to embed the model in a live website.