LSTM: Long short-term memory

Concept and definition

LSTM: Long short-term memory

What is LSTM: Long short-term memory?

LSTM (Long short-term memory) is a type of recurrent neural network (RNN) used in deep learning to process and predict sequences of data. The LSTM was designed to address the problem of gradient fading in traditional recurrent neural networks, which occurs when error is backpropagated through multiple layers and important information is lost in the process. The LSTM uses a gated cell structure that allows the network to control the amount of information that is stored and forgotten at each time step, making it particularly suitable for processing long-term sequences of data. LSTMs have been successfully used in a wide variety of deep learning applications, such as natural language processing, speech recognition, text generation and time series prediction.

« Back to glossary

Do you want to get in touch?

CDRs contain data that a telecommunications company collects about phone calls, such as time and length of call. This data can be used in analytical applications.
Fill the form
Share:
How Artificial Intelligence is revolutionizing the retail sector

Artificial intelligence (AI), Machine Learning (ML) and data analytics are rapidly changing and having a major impact on our business.

Read More »
What is Intelligent Process Automation in companies?

Intelligent Process Automation in companies has changed in the world very rapidly in recent years. The COVID-19, the interr [...]

Read More »
Artificial intelligence against delinquency and non-payments in companies

The current scenario we are experiencing in Spain with the COVID-19 health crisis has led to many companies having to carry out ER [...]

Read More »
12 Sectors with the greatest potential for entrepreneurship

Business opportunities are everywhere and many times we do not know which are the sectors with the greatest potential for entrepreneurship.

Read More »
See more entries
© Gamco 2021, All Rights Reserved - Legal notice - Privacy - Cookies