The rapid growth of artificial intelligence and machine learning has led to the development of numerous deep learning frameworks. Each framework has its strengths and weaknesses, making it challenging to deploy models across different platforms. However, the Open Neural Network Exchange (ONNX) framework has emerged as a powerful solution to this problem. This article introduces the ONNX framework, explains its basics, and highlights the benefits of using it.
Understanding the Basics of ONNX
What Is ONNX?
The Open Neural Network Exchange (ONNX) is an open-source framework that enables the seamless interchange of models between different deep learning frameworks. It provides a standardized format for representing trained models, allowing them to be transferred and executed on various platforms. ONNX allows you to train your models using one framework and then deploy them using a different framework, eliminating the need for time-consuming and error-prone model conversions.