- 安装是以theano为后端
- 所选系统为Centos6 32位
- 安装需要的包
conda install numpy scipy mkl <nose> <sphinx> <pydot-ng>
#<...>为可选的包
pip install parameterized
- GPU加速器没有安装，不过安装需要下载GPU下载
- Stable Installation
conda install theano pygpu
&
pip install Theano
- libgpuarray
git clone https://github.com/Theano/libgpuarray.git
cd libgpuarray
git checkout tags/v0.6.5 -b v0.6.9
- Bleeding-Edge Installation (recommended)
pip install <--user> <--no-deps> git+https://github.com/Theano/Theano.git#egg=Theano
- libgpuarray
conda install -c mila-udem pygpu
- Developer Installation
git clone git://github.com/Theano/Theano.git
cd Theano
<sudo> pip install <--user> <--no-deps> -e
sudo yum install python-devel python-nose python-setuptools gcc gcc-gfortran gcc-c++ blas-devel lapack-devel atlas-devel
sudo easy_install pip
- Keras框架搭建
pip install -U --pre pip setuptools wheel
pip install -U --pre numpy scipy matplotlib scikit-learn scikit-image
pip install -U --pre tensorflow-gpu #可能执行不成功，没关系继续执行
pip install -U --pre keras
安装完毕后，输入python，然后输入：
>> import tensorflow
>> import keras
无错输出即可
- Keras中mnist数据集测试 下载Keras开发包
>>> git clone https://github.com/fchollet/keras.git
>>> cd keras/examples/
>>> python mnist_mlp.py
程序无错进行，至此，keras安装完成