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Working MLP+CONVNET Implementations

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@blackccpie blackccpie released this 12 Feb 14:48
· 73 commits to master since this release
v0.2-convnet
9bce803

In addition to previous MLP implementations, this release contains two working CONVNET implementations:

  • A single threaded implementation.
  • A multi-threaded training cabable implementation.

Though not fully configurable yet, CONVNET implementations allow to choose amongst different state of the art solvers, activation functions and loss functions.

Neurocl now also contains a python wrapper for easy scripting, training data graph capabilities, sample mnist training app, as well as a digit ocr app.

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