August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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Synchronous/asynchronous SGD
As mentioned before, in data parallelism, each model will grab some data from the training set and calculate their own gradient, but somehow we need to synchronize a way before updating the model, given that each worker will have the same model.
In synchronous SGD, all workers calculate a gradient and wait to have all gradients calculated, then the model is updated and distributed to all the workers again:
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