Mini toolsDefinition
Advanced recurrent neural networks designed to better capture long-term dependencies in sequential data
Detailed Explanation
LSTMs are a special type of RNN that include memory cells and gating mechanisms (input forget and output gates) to control information flow. This architecture helps mitigate the vanishing gradient problem and allows the network to learn long-range dependencies.
Use Cases
Language modeling speech synthesis handwriting recognition music composition
