Neural Turing Machines
A paper from DeepMind proposing an architecture that combines a neural network with an external memory matrix, implementing differentiable read and write operations through attention mechanisms. It is a foundational work in memory-augmented neural networks.
Timeline (last 90 days)
The concept of the neural memory module can be traced back to early work such as Neural Turing Machines and the Differentiable Neural Computer, whose core idea is to model memory read and write operations as differentiable computations.
Memory-Augmented Neural Networks (MANN) are a class of architectures that attach an external memory module beyond a standard neural network, traceable at the earliest to Neural Turing Machines and the Differentiable Neural Computer.
All Facts (2)
The concept of the neural memory module can be traced back to early work such as Neural Turing Machines and the Differentiable Neural Computer, whose core idea is to model memory read and write operations as differentiable computations.
50%UnverifiedMemory-Augmented Neural Networks (MANN) are a class of architectures that attach an external memory module beyond a standard neural network, traceable at the earliest to Neural Turing Machines and the Differentiable Neural Computer.
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