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Beijing Baidu Netcom Science Technology Co., Ltd

Expo Workshop

PaddlePaddle-based Deep Learning at Baidu

Dejing Dou · Chenxia Li · Teng Xi · Dingfu Zhou · Tianyi Wu · Xuhong Li · Zhengjie Huang · Guocheng Niu · Ji Liu · Yaqing Wang · Xin Wang · Qianwei Cai


Abstract:

PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible, and scalable deep learning platform, which was originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu such as Computer Vision (CV), NLP, and Speech. PaddlePaddle supports various neural network architectures and optimization algorithms. With PaddlePaddle, it is possible to leverage many CPUs/GPUs and machines to speed up training, achieving high throughput and performance via optimized communication. In this workshop, Baidu scientists and engineers will present a wide range of PaddlePaddle-based research and projects, from CV, NLP, graph learning, federated learning, few shot learning, to quantum computing.

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