Large-Scale Gradient-Free Deep Learning with Recursive Local Representation Alignment

10 Feb 2020Alexander OrorbiaAnkur MaliDaniel KiferC. Lee Giles

Training deep neural networks on large-scale datasets requires significant hardware resources whose costs (even on cloud platforms) put them out of reach of smaller organizations, groups, and individuals. Backpropagation (backprop), the workhorse for training these networks, is an inherently sequential process that is difficult to parallelize... (read more)

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