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Deep learning model embodiments and training embodiments for faster training
Deep learning model embodiments and training embodiments for faster training
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机译:深度学习模型的实施例和培训实施例,用于更快的训练
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摘要
Presented herein are embodiments of a training deep learning models. In one or more embodiments, a compact deep learning model comprises fewer layers, which require fewer floating-point operations (FLOPs). Presented herein are also embodiments of a new learning rate function, which can adaptively change the learning rate between two linear functions. In one or more embodiments, combinations of half-precision floating point format training together with larger batch size in the training process may also be employed to aid the training process.
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