Some torch demos mostly based on official torch examples with some extra features (like feature visualization, responce visualization, confusion matrices, plots etc).
In https://github.com/dimkastan/TorchDemos//Torch7BasedDemos/
I provide some modified examples from: https://github.com/torch/demos
At the moment I have added only cifar training.
... under preparation.... https://github.com/dimkastan/TorchDemos/HEp-2Classification [In this example I am training several networks on HEp-2 cell images using publicly available datasets (see ICPR2012, ICIP2013 and ICPR2014 HEp-2 cell contests)] In particular in these examples I am experimenting with the following: a. Transfer Learning (How transferable are the features from a network trained on a different task) b. Training from scratch. (How is it possible to train a Deep CNN from scratch and how this compares to case (a)).