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Found 1 papers, 1 papers with code
Training Neural Networks with Local Error Signals
We use single-layer sub-networks and two different supervised loss functions to generate local error signals for the hidden layers, and we show that the combination of these losses help with optimization in the context of local learning.
Ranked #3 on
Image Classification
on Kuzushiji-MNIST
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