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This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off

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Quantized Meanfield

This repository serves as supplementary for the paper: A mean field theory of quantized deep networks: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off.
And includes several tools to assist research of deep-neural-networks using statistical physics

Requirements:

  • Python 3.0
  • Pytorch with Cuda (Tested with 1.0.1.post2)
  • Jupyter (Lab)
  • Standard python packages, including: numpy, matplotlib, scipy

Usage

No installation required.
The python files in "./src" includes several tools usage throughout the research.
The jupyter-examples include examples, which utilizes several of those tools, and allow reproduction of the main figures in the paper.

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This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off

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