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TensorLayer: A Versatile Library for Efficient Deep Learning Development

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arxiv 1707.08551 v3 pith:ZU3US54K submitted 2017-07-26 cs.LG cs.DCstat.ML

TensorLayer: A Versatile Library for Efficient Deep Learning Development

classification cs.LG cs.DCstat.ML
keywords deeplearningtensorlayerdatadeveloplibraryneuralversatile
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Deep learning has enabled major advances in the fields of computer vision, natural language processing, and multimedia among many others. Developing a deep learning system is arduous and complex, as it involves constructing neural network architectures, managing training/trained models, tuning optimization process, preprocessing and organizing data, etc. TensorLayer is a versatile Python library that aims at helping researchers and engineers efficiently develop deep learning systems. It offers rich abstractions for neural networks, model and data management, and parallel workflow mechanism. While boosting efficiency, TensorLayer maintains both performance and scalability. TensorLayer was released in September 2016 on GitHub, and has helped people from academia and industry develop real-world applications of deep learning.

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