View source for Dynamic Neural Turing Machine (D-NTM)

A [[Dynamic Neural Turing Machine (D-NTM)]] is a [[Neural Turing Machine]] that is based on a [[Least Recently Used (LRU) Addressing Mechanism]].
* <B>Context:</B>
** It includes a [[recurrent neural network]] [[NN Controller|controller]] and [[external memory module]].
** It can range from being a [[Discrete D-NTM]] to being a [[Continuous D-NTM]].
* <B>Example(s):</B>
** …
* <B>Counter-Example(s):</B>
** a [[Neural Machine Translation (NMT) Network]], 
** a [[Hierarchical Attention Network]],
** a [[Gated Convolutional Neural Network with Segment-level Attention Mechanism (SAM-GCNN)]],
** a [[Convolutional Neural Network with Segment-level Attention Mechanism (SAM-CNN)]],
** a [[Bidirectional Recurrent Neural Network with Attention Mechanism]],
** a [[Sparse Access Memory Neural Network (SAM-ANN)]].
* <B>See:</B> [[Dynamic Memory Network]], [[Turing Machine]], [[Programmable Computer]], [[Auxiliary Memory]], [[Gradient Descent]], [[Long Short-Term Memory]], [[Differentiable Neural Computer]], [[Attention Mechanism]].

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