From: Francois Fleuret Date: Fri, 7 Oct 2016 10:06:02 +0000 (+0200) Subject: Initial commit X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=commitdiff_plain;h=a32852e5e1c1d0cd7886fbfa2dce337fb3db9796;p=dyncnn.git Initial commit --- diff --git a/README.txt b/README.txt new file mode 100644 index 0000000..8a83250 --- /dev/null +++ b/README.txt @@ -0,0 +1,17 @@ + +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