karpathy

"""
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)

bearpaw

Caffe + Ubuntu 12.04 64bit + CUDA 6.5 配置说明

本步骤能实现用Intel核芯显卡来进行显示， 用NVIDIA GPU进行计算。

1. 安装开发所需的依赖包

安装开发所需要的一些基本包

sudo apt-get install build-essential
sudo apt-get install vim cmake git
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev

raisch

// tokenize(str)
// extracts semantically useful tokens from a string containing English-language sentences
// @param {String}    the string to tokenize
// @returns {Array}   contains extracted tokens

function tokenize(str) {

   var punct='\\['+ '\\!'+ '\\"'+ '\\#'+ '\\$'+              // since javascript does not
             '\\%'+ '\\&'+ '\\\''+ '\\('+ '\\)'+             // support POSIX character
             '\\*'+ '\\+'+ '\\,'+ '\\\\'+ '\\-'+             // classes, we'll need our