Language Model Using Differentiable Neural Computer Based on Forget Gate-Based Memory Deallocation
A differentiable neural computer (DNC) is analogous to the Von Neumann machine with a neural network controller that interacts with an external memory through an attention mechanism. Such DNC’s offer a generalized method for task-specific deep learning models and have demonstrated reliability with r...
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Veröffentlicht in: | Computers, materials & continua materials & continua, 2021, Vol.68 (1), p.537-551 |
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