常用软件包和环境配置(机器学习)



1. 常用软件包:

Theano
Pylearn2
scikit-neuralnetwork

Caffe

Deeplearning4j

Torch


2. 环境配置

Linux: Ubuntu

Eclipse

PyDev

Python

CUDA


3. 神经网络算法 (neural networks)

12, 14, 15

4. scikit-learn 


5. scikit-neuralnetwork


5.1 安装dependencies:

> pip install numpy scipy theano
> pip install -e git+https://github.com/lisa-lab/pylearn2.git#egg=Package

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


5.2 安装scikit-neuralnetwork

> pip install scikit-neuralnetwork

5.3 测试:

> pip install nose
> nosetests -v sknn.tests

如果出现报错: ImportError: No module named dnn

请确保更新theano:
sudo pip install theano --upgrade

5.4 MNIST数据集:

5.6 Demo

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


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)
 
  
 
  
 
  
 
  
 
  
 
  
 
 

1. 常用软件包:

Theano
Pylearn2
scikit-neuralnetwork

Caffe

Deeplearning4j

Torch


2. 环境配置

Linux: Ubuntu

Eclipse

PyDev

Python

CUDA


3. 神经网络算法 (neural networks)

12, 14, 15

4. scikit-learn 


5. scikit-neuralnetwork


5.1 安装dependencies:

> pip install numpy scipy theano
> pip install -e git+https://github.com/lisa-lab/pylearn2.git#egg=Package

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


5.2 安装scikit-neuralnetwork

> pip install scikit-neuralnetwork

5.3 测试:

> pip install nose
> nosetests -v sknn.tests

如果出现报错: ImportError: No module named dnn

请确保更新theano:
sudo pip install theano --upgrade

5.4 MNIST数据集:

5.6 Demo

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


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)
 
   
 
   
 
   
 
   
 
   
 
   
 
  
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