nnom
NNoM is a neural network library tailored for microcontrollers, designed to facilitate efficient deployment of models such as Inception, ResNet, and DenseNet. It integrates smoothly with Keras, offering structured interfaces that improve functionality. Features include per-channel quantization and onboard evaluation, optimizing performance without runtime loss. Recent updates bring RNN support, catering to small footprint platforms. Geared towards embedded developers, NNoM focuses on efficient neural network operations on MCUs, managing models, memory, and inference effectively. It supports TensorFlow up to version 2.14.
