Long Short-Term Memory (LSTM) is a term from Artificial Intelligence and Big Data. LSTMs are special types of artificial neural networks that are particularly good at recognising patterns in data series that extend over longer periods.<\/p>\n
Imagine you want to predict revenue for the coming months based on past sales figures. Traditional methods struggle with this because they often only consider current figures. LSTMs work differently: they remember important information from the past, and can therefore better predict what will happen next. <\/p>\n
Typical application areas include demand forecasting, speech recognition, or the automatic detection of fraud patterns in financial data. Long Short-Term Memory networks particularly show their strengths in tasks where processes or changes over time are important.<\/p>\n
An everyday example: Voice assistants such as Siri or Alexa use LSTM models to correctly understand spoken sentences \u2013 because they track the context of individual words within a sentence. This makes LSTMs a key technology for many modern digital applications.<\/p>","protected":false},"excerpt":{"rendered":"