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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 --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)

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:
  • 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

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Filename, size & hash SHA256 hash help File type Python version Upload date
DeepCL-8.5.4alpha2-py2.7-linux-i686.egg (447.2 kB) Copy SHA256 hash SHA256 Egg 2.7
DeepCL-8.5.4alpha2-py2.7-linux-x86_64.egg (481.8 kB) Copy SHA256 hash SHA256 Egg 2.7
DeepCL-8.5.4alpha2-py3.4-linux-i686.egg (482.7 kB) Copy SHA256 hash SHA256 Egg 3.4
DeepCL-8.5.4alpha2-py3.4-linux-x86_64.egg (521.3 kB) Copy SHA256 hash SHA256 Egg 3.4
DeepCL-8.5.4alpha2.tar.gz (144.5 kB) Copy SHA256 hash SHA256 Source None

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