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pro vyhledávání: '"Sander Keemink"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Recurrent neural networks (RNNs) hold immense potential for computations due to their Turing completeness and sequential processing capabilities, yet existing methods for their training encounter efficiency challenges. Backpropagation through time (B
Externí odkaz:
https://doaj.org/article/48636d5850eb4e3d91523b96275024c9