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Published 20 hours ago • verified publisher icon rtavenar
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Efficient implementation of Learning Time-Series Shapelets using keras

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result is wrong,the reason is data is so big.

ResourceExhaustedError: OOM when allocating tensor with shape[100,27,1,249] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc [[{{node false_conv_0/convolution/Conv2D}} = Conv2D[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="VALID", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true,...

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Efficient implementation of Learning Time-Series Shapelets using keras

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