Training materials
Difficulty level: Beginner or Not specified
and Contributors: Prof. Tom Freeman or Emily Angiolini or Andrea Argentini or Anil S. Thanki or Phillip Crout or Kaivan Kamali
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video
RDMbites | Analysis Organisation
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video
RDMbites | Making code available in a repository
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video
RDMbites | Package and environment management systems
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video
RDMbites | Improve your analysis reproducibility and data provenance with computational notebooks
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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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