wangyi-fudan/wymlp
tiny fast portable real-time deep neural network for regression and classification within 50 LOC.
This tool helps embed real-time learning capabilities into resource-constrained devices for immediate decision-making. It takes numerical input data and processes it to provide classifications or predictions, enabling devices to adapt and respond quickly without needing extensive computational power. It's designed for operations engineers, embedded systems developers, or anyone building intelligent systems where speed and low resource usage are critical.
No commits in the last 6 months.
Use this if you need to perform quick predictions or classifications directly on a device with limited memory and processing power, where every millisecond counts.
Not ideal if you require complex deep learning models, extensive data analysis features, or are working in an environment with ample computational resources.
Stars
52
Forks
7
Language
C++
License
Unlicense
Category
Last pushed
Apr 06, 2021
Commits (30d)
0
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