Training materials
Contributors: Brane Leskosek or Emily Angiolini or Hadley Wickham or Kaivan Kamali or Prof. David Willaim Burt or Prof. Marc Streit or Prof. Tom Freeman or Rafael C Jimenez
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hadley/r-pkgs
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hadley/ggplot2-book
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hadley/mastering-shiny
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hadley/adv-r
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hadley/r4ds
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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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