Hardware acceleration has taken centre stage at leading tech majors. For instance, Google’s TPU or NVIDIA’s DGX enable parallelism by providing faster interconnections between the accelerators. An average ImageNet resolution is 469 x 387 and it has been proven that by increasing the size of an input image, the final accuracy score of a classifier…

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