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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
Categories
Machine LearningLicense
MIT LicenseFollow tiny-dnn
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