Unlocking Model Interoperability with ONNX

This chapter explores the significance of ONNX as a universal format for machine learning models, facilitating interoperability among various frameworks like TensorFlow and PyTorch. It highlights the advantages of converting models to ONNX for improved deployment flexibility and efficiency across diverse platforms and devices. Additionally, the chapter discusses ONNX's role in enhancing performance with ONNX Runtime and its collaborative development by industry leaders.