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arXiv · 1910.04875

FastEstimator: A Deep Learning Library for Fast Prototyping and Productization

Xiaomeng Dong·Junpyo Hong·Hsi-Ming Chang·Michael Potter·Aritra Chowdhury·Purujit Bahl·Vivek Soni·Yun-Chan Tsai·Rajesh Tamada·Gaurav Kumar·Caroline Favart·V. Ratna Saripalli·Gopal Avinash
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Abstract

As the complexity of state-of-the-art deep learning models increases by the month, implementation, interpretation, and traceability become ever-more-burdensome challenges for AI practitioners around the world. Several AI frameworks have risen in an effort to stem this tide, but the steady advance of the field has begun to test the bounds of their flexibility, expressiveness, and ease of use. To address these concerns, we introduce a radically flexible high-level open source deep learning framework for both research and industry. We introduce FastEstimator.

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Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang, Michael Potter, Aritra Chowdhury, Purujit Bahl, Vivek Soni, Yun-Chan Tsai, Rajesh Tamada, Gaurav Kumar, Caroline Favart, V. Ratna Saripalli, Gopal Avinash. 2019-10-07. FastEstimator: A Deep Learning Library for Fast Prototyping and Productization. https://arxiv.org/abs/1910.04875

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