Update README.md

Author: nagadomi

README.md

@@ -1,18 +1,21 @@
 # Second Annual Data Science Bowl
 
-Code for Second Annual Data Science Bowl.
+Code for [Second Annual Data Science Bowl](). 16th place.
 
 # Sumamry
 
-A Hybrid Deep CNN/MLP based approach.
-It is used only 3 sax slices to predict real volume, is not used segmentation technique, is not needed hand-labeling.
+A Hybrid Deep CNN/MLP.
 
+It is used only 3 sax slices to predict the actual volume, is not used segmentation techniques, is not needed hand-labelings.
 
+![neural network](./figure.png)
+
+Detail: [simple locatlization](TODO), [neural network definition](TODO), [cumulative distribution function](TODO), [model ensemble and bagging](TODO).
 
 ## Developer Environment
 
 - Ubuntu 14.04
-- 16GB RAM 
+- 12GB RAM 
 - GPU & CUDA (I used EC2 g2.2xlarge instance)
 - [Torch7](http://torch.ch/)
 - Ruby
@@ -21,14 +24,23 @@ It is used only 3 sax slices to predict real volume, is not used segmentation te
 
 ## Installation
 
-Install CUDA, Torch7 first.
+Install CUDA and Torch7 first. See [NVIDIA CUDA Getting Started Guide for Linux](http://docs.nvidia.com/cuda/cuda-getting-started-guide-for-linux/#abstract) and [Getting started with Torch](http://torch.ch/docs/getting-started.html).
 
 ```
 sudo apt-get install libgraphicsmagick-dev ruby rubygems
 sudo gem install dicom
 luarocks install graphicsmagick
 ```
 
+## Data
+
+Place the [data files](https://www.kaggle.com/c/second-annual-data-science-bowl/data) into a subfolder ./data.
+
+```
+% ls ./data
+test  train  train.csv  validate  validate.csv
+```
+
 ## For validation set
 
     ./run_all.sh
@@ -37,4 +49,4 @@ luarocks install graphicsmagick
 
     ./run_all_test.sh
 
-NOTICE: I used 8 g2.xlarge instances to execute this script. See comments in `./run_all_test.sh`
+NOTICE: I used 8 g2.xlarge instances to execute this script. See comments in `./run_all_test.sh`.