Training materials
Difficulty level: Not specified
and Contributors: Allegra Via or Anil S. Thanki or Collins Assisi or Google or Kaivan Kamali
-
google/comprehensive-rust
-
jakevdp/WhirlwindTourOfPython
-
jakevdp/PythonDataScienceHandbook
-
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
- 1
- 2