Tipo
Artigos em Revista
Tipo de Documento
Artigo Completo
Título
TensorX: Extensible API for Neural Network Model Design and Deployment
Participantes na publicação
Davide Nunes (Author)
Dep. Informática
Dep. Informática
LabMAg
BioISI
Luis Antunes (Author)
Dep. Informática
LabMAg
BioISI
LASIGE
Resumo
TensorX is a Python library for prototyping, design, and deployment of complex neural network models in TensorFlow. A special emphasis is put on ease of use, performance, and API consistency. It aims to make available high-level components like neural network layers that are, in effect, stateful functions, easy to compose and reuse. Its architecture allows for the expression of patterns commonly found when building neural network models either on research or industrial settings. Incorporating ideas from several other deep learning libraries, it makes it easy to use components commonly found in state-of-the-art models. The library design mixes functional dataflow computation graphs with object-oriented neural network building blocks. TensorX combines the dynamic nature of Python with the high-performance GPU-enabled operations of TensorFlow.\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\nThis library has minimal core dependencies (TensorFlow and NumPy) and is distributed under Apache License 2.0 licence, encouraging its use in both an academic and commercial settings. Full documentation, source code, and binaries can be found in https://tensorx.org/.
Data de Submissão/Pedido
2020-12-29
Data de Aceitação
2021-01-02
Data de Publicação
2021-01-02
Instituição
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA
Suporte
CoRR, December 2020
Identificadores da Publicação
Identificadores do Documento
URL -
https://arxiv.org/abs/2012.14539
DOI -
https://doi.org/10.48550/arXiv.2012.14539