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

See All Activity >

Categories

Machine Learning

License

MIT License

Follow tiny-dnn

tiny-dnn Web Site

You Might Also Like
Deliver trusted data with dbt Icon
Deliver trusted data with dbt

dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
Learn More
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of tiny-dnn!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C++

Related Categories

C++ Machine Learning Software

Registered

2024-08-01