Using ONNX to Complete Machine Learning Projects Faster with Less Trial-and-Error

Zetane presents for the ONNX Community, showing how open-source tools redefine how we work with neural networks.

Given that commercial applications of machine learning have only recently entered the limelight, methods for developing the technology are still, for the most part, based on ad-hoc solutions. Common standards for commercial applications of machine learning remain far and few, which has many businesses wasting time and resources developing and maintaining homegrown hardware and software for their AI solutions. This not only increases the costs of innovation, but the multiplicity of technology formats also makes it impossible for AI systems and technology tools to work together.

Well aware of the problem, leaders in the AI sector are calling for the implementation of industrial standards in machine learning and the tools used to advance AI innovation. One initiative of particular import is by the ONNX open-standard community from the pioneering organization for open-source technology tools in AI, The Linux Foundation AI. Short for Open Neural Network eXchange, ONNX provides a standard format to represent and share machine learning models. This standard makes diverse software and hardware compatible…