本步骤能实现用Intel核芯显卡来进行显示, 用NVIDIA GPU进行计算。
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
""" | |
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) |
""" | |
(C) Mathieu Blondel - 2010 | |
License: BSD 3 clause | |
Implementation of the collapsed Gibbs sampler for | |
Latent Dirichlet Allocation, as described in | |
Finding scientifc topics (Griffiths and Steyvers) | |
""" |