Long Short-Term Memory
"Microsoft Azure AI Document Intelligence" aracının arkasındaki bilimsel makalenin özeti.
This paper introduces the Long Short-Term Memory (LSTM) architecture, a type of recurrent neural network designed to address the vanishing gradient problem encountered when training traditional recurrent networks. LSTM networks incorporate memory cells and gate units that regulate the flow of information, enabling them to learn long-range dependencies in sequential data. The paper demonstrates LSTM's effectiveness in several benchmark tasks, showcasing its ability to outperform existing recurrent network architectures in learning complex temporal patterns.