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python wrapper for DeepCL deep convolutional neural network library for OpenCL

Project description

Python wrapper for DeepCL


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

To install from pip

pip install --pre --upgrade DeepCL

How to use

See 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:

For examples of using lower-level entrypoints, see

  • 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

To install from source


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

To install:

cd python
python install


  • 25 July 2016:
  • added RandomSingleton class, to set the seed for weights initialization
  • added example

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Files for DeepCL, version 8.4.0a4
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