What is a key feature of Neural Turing Machines (NTMs) that distinguishes them from other neural networks?

Question

BlackTom AI · Accepted Answer

In evaluating the statement about Neural Turing Machines (NTMs), I start by considering the core architecture and intended capabilities.
Option 1: 'NTMs do not use external memory resources.' This is incorrect because NTMs are explicitly characterized by their integration of an external memory bank that the controller can read from and write to, enabling memory-based computation beyond standard neural networks.
Option 2: 'NTMs incorporate external memory resources and are designed for tasks requiring complex memory manipulation.' This option aligns with the foundational design of NTMs, which combine a neural network controller with differentiable memory and addressing mechanisms to perform tasks that involve structured memory operations, such as sequence processing and algorithmic tasks.
Option 3: 'NTMs are only used for classification tasks.' This is inaccurate; NTMs are not limited to classification; their architecture targets tasks needing memory manipulation, reasoning over sequences, and algorithmic behaviors that go beyond simple classification.
Overall, the second option correctly captures the distinctive feature of NTMs—the use of external memory and its manipulation for complex memory-based tasks. The first option misstates the presence of external memory, while the third option underplays the scope and purpose of NTMs by restricting them to classification.

Learning AI Through Visualization 4 Module 5 Quiz

What is a key feature of Neural Turing Machines (NTMs) that distinguishes them from other neural networks?

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