DRTP trains hidden layers using only fixed random projections of the one-hot label, removing feedback pathways and update locking at a modest accuracy cost versus backpropagation.
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Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks
DRTP trains hidden layers using only fixed random projections of the one-hot label, removing feedback pathways and update locking at a modest accuracy cost versus backpropagation.