Training materials
Target audience: Students
and Difficulty level: Beginner or Not specified
and Contributors: Andrea Argentini or Anil S. Thanki or Emily Angiolini or Gildas Le Corguillé or Kaivan Kamali or Prof. Tom Freeman
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hands-on tutorial
Hands-on for 'De novo transcriptome assembly, annotation, and differential expression analysis' tutorial
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS analysis' tutorial
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slides
Slides for 'Tool development and integration into Galaxy' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial
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slides
Slides for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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slides
Slides for 'Convolutional neural networks (CNN) Deep Learning - Part 3' tutorial
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