6 Use Cases for Distributed Deep Learning
In the world of Big Data, decentralization is king. Seeing that today’s data sets are so large and complex that traditional database systems cannot handle them, distributed deep learning splits computational problems that require high storage and solving time into many subproblems that can be assigned to multiple machines.