Are recurrent neural network Turing complete?

Recurrent Neural networks have been proven to be Turing complete and LSTMs generalize these, therefore LSTMs should also be Turing complete (the LSTM should learn not to use the “forget” gate if it is getting in the way). …

Is RNN a Turing machine?

Recurrent neural networks Furthermore, there exist finite RNNs that are Turing complete, and can therefore implement any algorithm. They use networks containing a finite number of recurrently connected units, which receive external inputs at each time point.

Which type of neural network is Turing complete?

Most of the early neural architectures proposed for learning algorithms correspond to extensions of RNNs – e.g., Neural Turing Machines (Graves et al., 2014) –, and hence they are Turing complete in the sense of Siegelmann and Sontag.

Is Perceptron Turing complete?

We show both models to be Turing complete exclusively based on their capacity to compute and access internal dense representations of the data….On the Turing Completeness of Modern Neural Network Architectures.

Is the brain Turing complete?

You can calculate rule 110 by pen and paper, so at least the brain-pen-paper system is Turing complete. However, the brain is not a Turing machine, probably. The brain, however, is not a simple universal turing machine in the sense that it doesn’t have a finite set of instructions and an infinite tape-band.

What are neural Turing machines used for?

A neural Turing machine (NTM) is a technology that uses neural network methodologies to achieve the capability to verify algorithms and do other computational work. It is based on the mid-20th century work of renowned data scientist Alan Turing.

Is the mind like a Turing machine?

According to CCTM, the mind is a computational system similar in important respects to a Turing machine, and core mental processes (e.g., reasoning, decision-making, and problem solving) are computations similar in important respects to computations executed by a Turing machine.