onnx and tensorflow protobuf
Deep Learning with a DNN Compiler
Deep Neural Network Compiler (DNNC) is an AOT Compiler and inference framework. Part-1 of this article series showed how to use DNNC as an inference framework. This article shows how to use DNNC to compile a machine learning model on a microcontroller or microcomputer worth ranging from 10¢ to $5. A deep learning model is a collection of programs, trained parameters (weights and biases), and associated computer elements. It could be stored as a python program or stored in a format like onnx and TensorFlow protobuf.