深度学习环境配置

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 update

sudo apt-get upgrade gcc

sudo apt-get install python2.7-dev

3. 安装numpy, scipy, theano:

pip install numpy scipy theano

sudo pip install numpy scipy theano (1:03:32)

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 scipy

sudo 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)

你可能感兴趣的:(深度学习环境配置)