Turbot-DL入门教程篇-深度学习框架Theano验证例子

Turbot-DL入门教程篇-深度学习框架Theano验证例子

说明：

• 介绍如何在Turbot-DL安装深度学习框架Theano验证例子

环境：

• Python 2.7.12

测试：

• 新建目录examples

$ mkdir examples
$ cd examples

• 新建文件,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/