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python wrapper for DeepCL deep convolutional neural network library for OpenCL

Project description

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

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)

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

  • creating layers directly

  • running epochs and forward/backprop directly

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:

  • 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

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