AI GlossaryLSTM (Long Short-Term Memory)ENTRY — Deep Learning
[Deep Learning]
LSTM (Long Short-Term Memory).
An RNN variant with gates that control information flow, enabling learning of long-term dependencies.
In-depth explanation
01LSTMs address the vanishing gradient problem of basic RNNs using a cell state and three gates: forget gate (what to discard), input gate (what to add), and output gate (what to output). This architecture allows information to flow unchanged across many time steps, enabling learning of long-range dependencies in sequences.
Examples
02EX. 01
Machine translation
EX. 02
Speech synthesis
EX. 03
Sentiment analysis
More in Deep Learning
0301Attention MechanismA technique that allows models to focus on relevant parts of the input when producing output.02Convolutional Neural Network (CNN)A neural network architecture designed for processing grid-like data such as images.03DropoutA regularization technique that randomly drops neurons during training to prevent overfitting.04Fine-TuningAdapting a pre-trained model to a new task by training on task-specific data.05Recurrent Neural Network (RNN)A neural network architecture designed for sequential data with connections between nodes forming cycles.06Transfer LearningUsing knowledge learned from one task to improve performance on a different but related task.
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