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Listen "Distributed Deep Learning with Will Constable"
Episode Synopsis
Deep learning allows engineers to build models that can make decisions based on training data. These models improve over time using stochastic gradient descent. When a model gets big enough, the training must be broken up across multiple machines. Two strategies for doing this are “model parallelism” which divides the model across machines and “data
The post Distributed Deep Learning with Will Constable appeared first on Software Engineering Daily.
The post Distributed Deep Learning with Will Constable appeared first on Software Engineering Daily.
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