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Memory Neural Networks :MemNN

Goal This summary tries to provide an rough explanation of memory neural networks. In particular, the we focus on the existing architectures with external memory components. Motivation A lot of task, as the babi tasks require a long-term memory component in order to understand longer passages of text, like stories. More general, QA tasks demand accessing memories in a wider context, such as past utterances which date back several days or even weeks. Ingredients External memory, RNN, LSTM, Embedding model, Scoring function, Softmax, Hops. Steps Neural Networks in general rely on storing information about training data in the weights of their hidden layers. However, current architectures, such as RNN and LSTM, limit the access of information seen in the past […]