What every ML/AI developer should know about ONNX

The Open Neural Network Exchange Format (ONNYX) is a new standard for exchanging deep learning models. It promises to make deep learning models portable thus preventing vendor lock in. Let’s look at why that matters for the modern ML/AI developer.

The end result of a trained deep learning algorithm is a model file that efficiently represents the relationship between input data and output predictions. A neural network is one of the most powerful ways to generate these predictive models but can be difficult to build in to production systems. Most often, these models exist in a data format such as a `.pth` file or an HD5 file. Oftentimes you want these models to be portable so that you can deploy them in environments that might be different than where you initially trained the model.