This is an implementation of a deep residual network for predicting
the dynamics of 2D shapes.

This package is composed of two main parts: A simple 2d physics
simulator called 'flatland' written in C++, to generate the data-set,
and a deep residual network 'dyncnn' written in the Lua/Torch7
framework.

You can run the reference experiment by executing the run.sh shell
script. It will generate the data-set of 50k triplets of images, train
the deep network, and output validation results every 100 epochs.

--
Francois Fleuret
Oct 7, 2016
Martigny