tiny-dnn is a C++ implementation of deep learning. It is suitable for deep
learning on limited computational resource, embedded systems and IoT devices.
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Features:
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* Reasonably fast, without GPU;
* Portable & header-only;
* Easy to integrate with real applications;
* Simply implemented.
Installed Size: 1.0 MB
Architectures: all