Створення веб-редактору для архітектур нейронних мереж та їх експорту для deep learning фреймворків

Abstract

This paper discusses the particular properties of modern architectures of neural networks, that lead to complication in their design and implementation. Modern neural networks have 2 main distinct features - their computation graphs are non-linear and they often consist of repeated blocks. Representing these structures in a programming language is difficult and prone to errors, so a solution to simplify this process was proposed -to develop a graphical editor, which would allow to create, edit, share and even generate codefor a given Deep Learning framework.An interactive visual representation of the network’s architecture as a 2-D graphshould greatly simplify the process of designing a neural network.