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Nerlnet is a distributed machine learning platform developed for both research and deployment on real edge hardware devices.
Nerlnet is highly configurable and very modular platform, it supports different kinds of communication protocols and has a simple python API for experiment management.
The Erlang is the core of the distributed system of Nerlnet. The network of Nerlnet is based on Cowboy and it is based on common network modules: Servers, Routers and Clients. Clients can host sources that generate data in the network, and workers that execute neural networks implemented in C++, such as cppSANN, under IoT hardware constraints.
- Nerlnet architecture:
