Training materials
Include archived: true
and Contributors: Andrea Argentini or Dr. Bernard de Bono or Dr. Martin Graham or Dr. Scooter Morris or Kaivan Kamali or Martin Krzywinski or Martin Morgan or Mateusz Kuzak or Melanie Foell or Patricia Palagi or Prof. Tom Freeman
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mtmorgan/HCABiocTraining
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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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Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling
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