Abstract
This article introduces a framework for the interchange of trained neural network models. An XML-based language (Neural Network Markup Language) for the neural network model description is offered. It allows to write down all the components of neural network model which are necessary for its reproduction. We propose to use XML notation for the full description of neural models, including data dictionary, properties of training sample, preprocessing methods, details of network structure and parameters and methods for network output interpretation.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
