Transcription of Time Series Classification from Scratch with Deep …
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Time Series Classification from Scratch with Deep …
time Series Classification from Scratch with DeepNeural Networks: A Strong BaselineZhiguang Wang, Weizhong YanGE Global Research{ , OatesComputer Science and Electric EngineeringUniversity of Maryland Baltimore We propose a simple but strong baseline for timeseries classification from Scratch with deep neural networks. Ourproposed baseline models are pure end-to-end without any heavypreprocessing on the raw data or feature crafting. The proposedFully Convolutional Network (FCN) achieves premium perfor-mance to other state-of-the-art approaches and our explorationof the very deep neural networks with the ResNet structure isalso competitive. The global average pooling in our convolutionalmodel enables the exploitation of the Class Activation Map(CAM) to find out the contributing region in the raw data forthe specific labels. Our models provides a simple choice forthe real world application and a good starting point for thefuture research.}
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang, Weizhong Yan GE Global …
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