Abstract:One of the most important challenges facing U-Net architecture performance is the method design of its components and how to choose the suitable hardware computing device to deal with the training labelled datasets. Convolution is the most process that requires computations and memory costs, which is needs to minimize. Thus, one of the suitable selection is to change the type of the convolution. Other suggested solutions are to reduce the size of image, number of bits, and, stride value, in addition to number … Show more
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