Training materials
Target audience: Students
and Resource type: hands-on tutorial
and Contributors: Allegra Via or Daniel Faria or Eija Korpelainen or Kaivan Kamali
-
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
-
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