【深度学习 环境配置】软件包安装和环境配置

OS: Linux: Ubuntu 14.04

安装：

1. Pip (Python 2.7.9或以上自带pip）：

sudo apt-get install pyton-pip

2. 尝试安装scikit-neuralnetwork:
需要 numpy scipy theano

sudo pip install scikit-neuralnetwork

错误：SystemError: cannot compile “python.h”. Perhaps you need to install python-dev|python-devel

解决方法：

sudo apt-get updatesudo apt-get upgrade gccsudo apt-get install python2.7-dev 

3. 安装numpy, scipy, theano：

pip install numpy scipy theanosudo pip install numpy scipy theano

错误：numpy.distutils.system_info.NotFoundError: no lapack/blas resources found
解决方法：

sudo apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran

sudo pip install scipysudo pip install Theano

4. 安装Pylearn2

sudo pip install -e git+https://github.com/lisa-lab/pylearn2.git#egg=Package

需要git

sudo apt-get install git

5. 安装scikit-neuralnetwork

> git clone https://github.com/aigamedev/scikit-neuralnetwork.git> cd scikit-neuralnetwork; python setup.py develop

6. 测试

> sudo pip install nose> nosetests -v sknn.tests

需要安装matplotlib:

sudo pip install matplotlib

错误：The following package could not be built: freetype, png
解决方法：

    sudo apt-get install libpng-dev    sudo apt-get install libjpeg8-dev    sudo apt-get install libfreetype6-dev

7. 视觉化显示：

> python examples/plot_mlp.py --params activation

8. 在MNIST上测试

> python examples/bench_mnist.py (sknn|lasagne)