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a CRRNN overall architecture. b A local block comprising of two 1D convolutional networks with 100 kernels, and the concatenation (Concat) of their outputs with the original input data. c the BGRU block. The concatenation of input from the previous layer and before the previous layer is fed to the 1D convolutional filter. After reducing the dimensionality, the 500-dimensional data is transferred to the next BGRU layer
