From a32852e5e1c1d0cd7886fbfa2dce337fb3db9796 Mon Sep 17 00:00:00 2001
From: Francois Fleuret <francois@fleuret.org>
Date: Fri, 7 Oct 2016 12:06:02 +0200
Subject: [PATCH] Initial commit

---
 README.txt | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)
 create mode 100644 README.txt

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+
+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
-- 
2.39.5