How does LSTM memory work?

How do LSTM Networks Work? LSTMs use a series of ‘gates’ which control how the information in a sequence of data comes into, is stored in and leaves the network . There are three gates in a typical LSTM; forget gate, input gate and output gate.21 Eki 2020

Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems . This is a behavior required in complex problem domains like machine translation, speech recognition, and more. LSTMs are a complex area of deep learning.

In this example, the LSTM feeds on a sequence of 3 integers (eg 1×3 vector of int). In the training process, at each step, 3 symbols are retrieved from the training data. These 3 symbols are converted to integers to form the input vector.