DeepCL 8.4.0alpha1

python wrapper for DeepCL deep convolutional neural network library for OpenCL

Python wrapper for DeepCL

Pre-requisites

You must have first installed and activated DeepCL native libraries, see Build.md

To install from pip

pip install --pre --upgrade DeepCL

• related pypi page: https://pypi.python.org/pypi/DeepCL

How to use

See test_deepcl.py for an example of:

• creating a network, with several layers

• loading mnist data

• training the network using a higher-level interface (NetLearner)

The same example, using numpy arrays: test_deepcl_numpy.py

For examples of using lower-level entrypoints, see test_lowlevel.py:

• creating layers directly

• running epochs and forward/backprop directly

• note that you need numpy installed to run this example

For example of using q-learning, see test_qlearning.py.

To install from source

Pre-requisites:

• on Windows:

• Python 2.7 or Python 3.4

• A compiler:

  • Python 2.7 build: need Visual Studio 2008 for Python 2.7 from Microsoft

  • Python 3.4 build: need Visual Studio 2010, eg Visual C++ 2010 Express

• on linux:

• Python 2.7 or Python 3.4

• g++, supporting c++0x, eg 4.4 or higher

• have first already built the native libraries, see Build.md

• have activated the native library installation, ie called dist/bin/activate.sh, or dist/bin/activate.bat

To install:

cd python
python setup.py install

Changes

• 25 July 2016:

• added RandomSingleton class, to set the seed for weights initialization

• added xor.py example