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Deep learning has gained many achievements over the past few years, right from defeating professionals in poker games to autonomous driving. Accomplishing such tasks needs a complex methodology which will result in a complex system. Even now, there are many cases where the researchers are applying a trial-and-error method to build certain models. 

With the increasing demand in deep learning, the demand for better as well as sophisticated hardware has also increased. Several Tier I organisations like Intel, Nvidia and Alibaba, among others, are striving hard to bridge the gap between the software and hardware. The only way to build a sophisticated deep learning model is to use better hardware.

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