Long short-term memory (LSTM): Revision history

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

9 July 2024

  • curprev 19:1519:15, 9 July 2024‎ Mr. MacKenty talk contribs‎ 5,662 bytes +5,662‎ Created page with "''This answer was supported by a LLM'' '''Long Short-Term Memory (LSTM)''' Long Short-Term Memory (LSTM) is a type of recurrent neural network (RNN) architecture designed to handle long-term dependencies and mitigate issues such as vanishing and exploding gradients, which are common in traditional RNNs. LSTMs are particularly effective in tasks that involve sequential data, such as language modeling and time series prediction. Here’s a detailed explanation of LSTMs w..."
Retrieved from "https://computersciencewiki.org/index.php?title=Long_short-term_memory_(LSTM)"