dmlc mxnet
dmlc/mxnet
In this example, we will demo how to use MXNet to build an end-to-end deep learning system to help Diagnose Heart Disease. The demo network is able to achieve 0.039222 CRPS on validation set, which is good enough to get Top-10 (on Dec 22nd, 2015). Notice this is a very simple model with no attempt to optimize the structure or hyper parameters, you can build fantastic network based on it. While this tutorial is written in python, mxnet comes with support for other popular languages such as R and Julia which can also be used. You are more than welcomed to try and contribute back to this example.