e-learning
Introduction to deep learning
Abstract
Introduction
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
- What are deep learning and neural networks?
- Why is it useful?
- How to create a neural network architecture for classification?
Learning Objectives
- Learn basic principles of deep learning
- Learn about how to create an end-to-end neural network architecture
- Learn about Galaxy deep learning tools
- Learn how to interpret predictions
Licence: Creative Commons Attribution 4.0 International
Keywords: Statistics and machine learning
Target audience: Students
Resource type: e-learning
Version: 8
Status: Active
Prerequisites:
Introduction to Galaxy Analyses
Learning objectives:
- Learn basic principles of deep learning
- Learn about how to create an end-to-end neural network architecture
- Learn about Galaxy deep learning tools
- Learn how to interpret predictions
Date modified: 2024-03-05
Date published: 2020-03-26
Contributors: Alireza Khanteymoori, Anup Kumar
Scientific topics: Statistics and probability
External resources:
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