Neural Turing Machine — recurrent neural network architecture, связанная с external differentiable memory system. Она объединяет neural pattern learning с memory access mechanisms, позволяя модели изучать простые algorithmic behaviors, такие как copying, sorting и associative recall from examples.
A recurrent neural network model. NTMs combine the fuzzy pattern matching capabilities of neural networks with the algorithmic power of programmable computers. An NTM has a neural network controller coupled to external memory resources, which it interacts with through attentional mechanisms. The memory interactions are differentiable end-to-end, making it possible to optimize them using gradient descent. An NTM with a long short-term memory (LSTM) network controller can infer simple algorithms such as copying, sorting, and associative recall from examples alone.