Long short-term memory (LSTM) can store information for longer periods of time, and hence, it is efficient in capturing long-term efficiencies. The following figure illustrates how an LSTM cell is designed:
Long short-term memory (LSTM)
LSTM has several gates: forget, input, and output. Forget gate maintains the information previous state. The input gate updates the current state using the input. The output gate decides the information be passed to the next state. The ability to forget and retain only the important things enables LSTM to remember over a longer time period. You have learned the deep learning vocabulary that will be used throughout the book. In the next section, we will see how deep learning can be used in the context of computer vision.
