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/
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