What is another word for open neural network exchange?
Pronunciation: [ˈə͡ʊpən njˈuːɹə͡l nˈɛtwɜːk ɛkst͡ʃˈe͡ɪnd͡ʒ] (IPA) 
The phrase "Open Neural Network Exchange" (ONNX) refers to a deep learning ecosystem that allows data scientists to interchange neural network models between different frameworks. This technology enables a seamless exchange of models with varying architectures and objective functions, allowing for model compilation in multiple languages while ensuring efficient use of computational resources. ONNX is focused on open source collaboration, allowing the network core to leverage the expertise and resources of a broad developer community. Synonyms for ONNX include "interchangeable deep learning models," "neural network interoperability," and "cross-framework model sharing." Overall, ONNX makes it easier to develop and deploy models for various applications, resulting in faster innovation and better performance.
