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Turbot-DL入门教程篇-深度学习框架Theano安装

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Turbot-DL入门教程

Turbot-DL入门教程篇-深度学习框架Theano安装

说明:

  • 介绍如何在Turbot-DL安装深度学习框架Theano

conda安装方法:

  • 安装conda:
mkdir ~/dl/Theano
cd ~/dl/Theano
wget https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86_64.sh
chmod +x Miniconda2-latest-Linux-x86_64.sh
sudo ./Miniconda2-latest-Linux-x86_64.sh
  • 安装依赖
conda install numpy scipy mkl <nose> <sphinx> <pydot-ng>
  • 增加lib到$LD_LIBRARY_PATH

  • 修改 .theanorc文件,增加root = /path/to/cuda/root

  • 安装theano

conda install theano pygpu

pip 安装方法:

  • 新建脚本:
mkdir -p ~/dl/Theano
cd ~/dl/Theano
sudo vim jetson_theano_install.sh
  • 脚本内容:
#!/bin/bash

sudo apt-get install -y python-pip

# install all essential dev packages
sudo apt-get install -y build-essential locate keychain git cmake cmake-curses-gui libv4l-dev v4l-utils python-numpy python-scipy  libavformat-dev libpng-dev libjpeg-dev libtiff-dev libswscale-dev libeigen3-dev  libtbb-dev libgtk2.0-dev

sudo pip install theano

测试:

  • 新建目录examples
mkdir examples
cd examples
  • 新建测试文件,进行简单计算 X+Y=Z
vim test.py 
  • 内容如下:
import theano.tensor as T
from theano import function

x=T.dscalar('x')
y=T.dscalar('y')
z=x+y 
f=function([x,y],z)
print f(2,3)  
  • 运行:
python test.py
  • 结果输出:
5.0 

参考:

  • http://deeplearning.net/software/theano/install_ubuntu.html
  • http://www.it610.com/article/4914925.htm
  • http://machinelearningmastery.com/introduction-python-deep-learning-library-theano/
  • https://github.com/gskielian/NVidia-Jetson-TK1-Setup-Scripts/blob/master/installTheano.sh
  • https://devtalk.nvidia.com/default/topic/990088/using-theano-with-cudnn-on-a-jetson-tx1/
  • https://read01.com/RnjJak.html
  • http://www.jetsonhacks.com/2015/06/07/thesis-3d-object-recognition-on-jetson-tk1-with-point-cloud-library/

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