Training materials
Keywords: Neuroscience or statistics
and Contributors: Ajay Pillai or Björn Grüning or Dr. Paul Shaw or Erik Hjerde or Jan Slifka or Kaivan Kamali or Michael Krone or Nicola Mulder or Oliver Davis or PhD BSc FSB
-
hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
-
slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 3) - Convolutional neural networks (CNN)' tutorial
-
hands-on tutorial
Hands-on for 'Deep Learning (Part 1) - Feedforward neural networks (FNN)' tutorial
-
slides
Slides for 'Image classification in Galaxy with fruit 360 dataset' tutorial
-
slides
Slides for 'Convolutional neural networks (CNN) Deep Learning - Part 3' tutorial
-
slides
Slides for 'Feedforward neural networks (FNN) Deep Learning - Part 1' tutorial
-
Notes, Scripts
MATHEMATICS BOOT CAMP: Introduction to Complex Systems Tools