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Architecture Agnostic Neural Networks
[article]
2020
arXiv
pre-print
In this paper, we explore an alternate method for synthesizing neural network architectures, inspired by the brain's stochastic synaptic pruning. During a person's lifetime, numerous distinct neuronal architectures are responsible for performing the same tasks. This indicates that biological neural networks are, to some degree, architecture agnostic. However, artificial networks rely on their fine-tuned weights and hand-crafted architectures for their remarkable performance. This contrast begs
arXiv:2011.02712v2
fatcat:wm7gml465bfefhg7f2zdtalbnu