2.1 深度學習常用軟件包和環境配置

1. 常用軟件包：

Theano
Pylearn2
scikit-neuralnetwork

Caffe

Deeplearning4j

Torch

http://deeplearning.net/software_links/

1. 環境配置

Linux: Ubuntu

Eclipse

PyDev

Python

CUDA

GPU: https://developer.nvidia.com/cuda-gpus

1. 神經網絡算法 (neural networks)

http://www.maiziedu.com/course/python/373-3811/
12, 14, 15

1. scikit-learn

http://scikit-learn.org/stable/

1. scikit-neuralnetwork

https://github.com/aigamedev/scikit-neuralnetwork

5.1 安裝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 安裝scikit-neuralnetwork

pip install scikit-neuralnetwork

5.3 測試：

pip install nose
nosetests -v sknn.tests

如果出現報錯： ImportError: No module named dnn

請確保更新theano:
sudo pip install theano –upgrade

5.4 MNIST數據集：
http://yann.lecun.com/exdb/mnist/

5.6 Demo

python examples/bench_mnist.py (sknn|lasagne)