Representation range needs for 16-bit neural network training

Deep learning has grown rapidly thanks to its state-of-the-art performance across a wide range of real-world applications. While neural networks have been trained using IEEE-754 binary32 arithmetic, the rapid growth of computational demands in deep learning has boosted interest in faster, low precis...

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Hauptverfasser:	Popescu, Valentina, Venigalla, Abhinav, Wu, Di, Schreiber, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning Computer Science - Numerical Analysis Mathematics - Numerical Analysis
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