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Can we decrease GPU usage by coaching sparse neural networks from the starting, rather than pruning post-hoc?

The book offers an extensive theoretical account of the basic suggestions underlying machine understanding and the mathematical derivations that transform these principles into practical algorithms.

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Related experiments with VGG16 discovered that the network as a whole can be reduced six.8x just by pruning the fully-connected layers, once more with no loss of accuracy.