Understanding LSTM Networks

Understanding LSTM Networks

LSTM Network


Understanding the LSTM network is an extension of the recurrent neural network (RNN) that is primarily initiated to handle situations where RNNs fail. Talking about RNN, it is a network that acts as a short input (short term memory) on the current input, taking into account the previous input (feedback) and storing it in its memory for some time. Does. Among its various applications, the most popular are in the fields of speech processing, non-Markovian control, and musical composition. Nevertheless, RNNs have drawbacks. First, it fails to store information for long periods of time. In order to estimate the current output multiple times, some information is collected before some time reference.

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