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Welcome to DeePray's documentation!

DeePray is a LEGO for deep learning algorithms. It is designed to make AI easier, faster and cheaper with the following advantages:

  • Faster training speed and higher efficiency.
  • Lower memory usage.
  • Better accuracy.
  • Support of parallel, distributed, and GPU learning.
  • Capable of handling large-scale data.

For more details, please refer to Features.

Installation Guide <Installation-Guide> Quick Start <Quick-Start> Python Quick Start <Python-Intro> Features <Features> Experiments <Experiments> Parameters <Parameters> Parameters Tuning <Parameters-Tuning> Python API <Python-API> Distributed Learning Guide <Parallel-Learning-Guide> GPU Tutorial <GPU-Tutorial> Advanced Topics <Advanced-Topics> FAQ <FAQ> Development Guide <Development-Guide>

GPU-Performance GPU-Targets gcc-Tips README

Indices and Tables

  • genindex