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Biologically-Plausible Learning Algorithms Can Scale to Large Datasets

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Academic year: 2021

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Figure 1: Top-1 and top-5 validation error on ImageNet of ResNet-18 and AlexNet trained with different learning algorithms
Figure 2: Training loss of RetinaNet on COCO dataset for three different settings: 1) standard backpropagation for all the layers (blue); 2) backpropagation for the last layer in regression subnet and classification subnet, and sign-symmetry for rest of th
Figure 4: The specific wiring required for sign-symmetric feedback can be achieved using axonal guidance by specific receptor-ligand recognition

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