Learning without feedback: Fixed random learning signals allow for feedforward training of deep neural networks

1 code implementation • 3 Sep 2019 • Charlotte Frenkel, Martin Lefebvre, David Bol

While the backpropagation of error algorithm enables deep neural network training, it implies (i) bidirectional synaptic weight transport and (ii) update locking until the forward and backward passes are completed.

Edge-computing