Figure - available from: Neuromorphic Computing and Engineering
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MSE ( ⋅102) for the tree-like design (top) and the accordion-like design (bottom) as function of copies on LeNet5 trained for MNIST classification. The pale area contains the 95%-confidence intervals. The red squares highlight the ‘low copies regime’ of which the values are highlighted in the abstract.
Source publication
All analog signal processing is fundamentally subject to noise, and this is also the case in next generation implementations of optical neural networks (ONNs). Therefore, we propose the first hardware-based approach to mitigate noise in ONNs. A tree-like and an accordion-like design are constructed from a given NN that one wishes to implement. Both...
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