update readme

LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2016 deeplearningathome
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

@@ -2,6 +2,8 @@
 This model is directly analagous to this [Tesnsorflow's LM](https://www.tensorflow.org/tutorials/recurrent).
 In fact, the reader is directly taken from its older version
 
+See this [blogpost.](http://deeplearningathome.com/2017/06/PyTorch-vs-Tensorflow-lstm-language-model.html)
+
 ## How to RUN:
 ```
 python ptb-lm.py --data=[PATH_TO_DATA]
@@ -17,3 +19,6 @@ On GTX 1080 I am getting around 7,400 wps.
 * reader.py - slightly older version of TF's PTB reader which yields numpy arrays as batches
 * ptb-lm.py - driver script
 
+## Requirements
+* Python 3 (I used Anaconda distribution)
+* PyTorch (I used 0.1.12)