Training materials
Contributors: Christine Balmer, UKCEH or Harald Barsnes or Kaivan Kamali or Lieven Clement or Mikko Rautiainen
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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 '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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slides
Slides for 'Feedforward neural networks (FNN) Deep Learning - Part 1' tutorial
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PSLS22 Practical Statistics for the Life Sciences
•• intermediate -
Jaqpot Hackathon - Training materials
••• advancednanoinformatics toxicity prediction e-tools Modeling data FAIRness
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