e-learning
Image classification in Galaxy with fruit 360 dataset
Abstract
The classification of fruits and vegetables offers many useful applications such as
About This Material
This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.
Questions this will address
- How to solve an image classification problem using convolutional neural network (CNN)?
Learning Objectives
- Learn how to create a CNN using Galaxy's deep learning tools
- Solve an image classification problem on fruit 360 dataset using CNN in Galaxy
Licence: Creative Commons Attribution 4.0 International
Keywords: Statistics and machine learning
Target audience: Students
Resource type: e-learning
Version: 8
Status: Active
Prerequisites:
- Convolutional neural networks (CNN) Deep Learning - Part 3
- Deep Learning (Part 3) - Convolutional neural networks (CNN)
- Introduction to Galaxy Analyses
Learning objectives:
- Learn how to create a CNN using Galaxy's deep learning tools
- Solve an image classification problem on fruit 360 dataset using CNN in Galaxy
Date modified: 2024-07-09
Date published: 2021-12-01
Scientific topics: Statistics and probability
External resources:
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