tiny-dnn is a C++14 implementation of deep learning. It is suitable for deep learning on limited computational resources, embedded systems, and IoT devices.

Features

  • Reasonably fast, without GPU
  • Portable & header-only
  • Documentation available
  • Easy to integrate with real applications
  • A good library for learning neural networks
  • Runs anywhere as long as you have a compiler which supports C++14

Project Samples

Project Activity

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Categories

Machine Learning

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Machine Learning Software

Registered

2024-08-01