Han hanqin

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

## atom.txt
// gist for atom

## .gitconfig
[user]
	name = hqin
	email = hqin@thoughtworks.com
[alias]
	ci = commit
	st = status
	co = checkout
	pr = pull --rebase
	br = branch
	sdc = svn dcommit
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console
	[user]
	name = hqin
	email = hqin@thoughtworks.com
	[alias]
	ci = commit
	st = status
	co = checkout
	pr = pull --rebase
	br = branch
	sdc = svn dcommit