GPipe, Google’s open source library to train deep neural networks, aims to increase classification accuracy and training speed. It uses two training techniques: synchronous stochastic gradient descent, an optimization algorithm that updates an AI model’s parameters, and pipeline parallelism, a task execution system where one step’s output is streamed as input to the next step. …
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