Memory Network Algorithm

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A Memory Network Algorithm is a NNet that ...



References

2016a

  • (Weston, 2016) ⇒ Jason Weston. (2016). “Memory Networks for Language Understanding.” Tutorial at ICML-2016.
    • Memory Networks: General Framework
    • Components: (m, I,G,O,R)
      • A memory [math]\displaystyle{ m }[/math]: an array of objects indexed by m_i
      • Four (potentially learned) components: I, G, O and R:
        • I – input feature map: converts the incoming input to the internal feature representation.
        • G – generalization: updates old memories given the new input.
        • O – output feature map: produces a new output 2, given the new input and the current memory state.
        • R – response: converts the output into the response format desired.

2016b

2015