Abstract:Distributed deep learning is a type of machine learning that uses neural networks to learn and make predictions at scale. This is achieved by having many different computer systems that are connected via the internet. This allows for more parallel processing and faster results. In addition, when it comes to IoT, this type of technology can be used in conjunction with sensors and other devices to create more accurate predictions about the environment around us. Distributed deep learning can be used in many ways… Show more
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