Figure 13
From: Sea level variability and modeling in the Gulf of Guinea using supervised machine learning
The architecture of the LSTM network shows the input, two LSTM cells (LSTM 0 and LSTM 1), and the output. Each LSTM cell includes three gates: the input gate, the forget gate, and the output gate, responsible for controlling the input, forgetting, and output of information within the cell, respectively. The LSTM network is designed to handle sequential data with the ability to capture long-term dependencies effectively.
