Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...
Presented at the recent O’Reilly OSCON – Open Source Convention 2014 by Josh Patterson (Patterson Consulting) and Adam Gibson (Skymind.io) is “Introduction to Parallel Iterative Deep Learning on ...
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