TPU Vs GPU Vs CPU: Which Hardware Should You Choose For Deep Learning
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.