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A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices
2019
Computational Intelligence and Neuroscience
Recently, machine learning, especially deep learning, has been a core algorithm to be widely used in many fields such as natural language processing, speech recognition, object recognition, and so on. At the same time, another trend is that more and more applications are moved to wearable and mobile devices. However, traditional deep learning methods such as convolutional neural network (CNN) and its variants consume a lot of memory resources. In this case, these powerful deep learning methods
doi:10.1155/2019/4328653
pmid:31182958
pmcid:PMC6512078
fatcat:tjihs56jujez5ntmzoaxw62cwi