LSTM
LSTM (Long Short-Term Memory) is a specialized recurrent neural network (RNN) architecture. It introduced gating mechanisms (input, output, and forget gates) to manage memory state, solving the vanishing gradient problem for sequential data.
Frequently Asked Questions
What does the forget gate do in an LSTM?▼
It decides what information from the previous cell state should be discarded or kept, preventing old, irrelevant history from polluting the gradient.
Why did Transformers surpass LSTMs?▼
LSTMs process tokens sequentially, which cannot be easily parallelized on GPUs. Transformers process sequences in parallel.
Quick Facts
- CategoryNeural Architectures
- Key ApplicationLegacy translation engines, voice synthesis, and sequential predictive maintenance
Coverage Trend12 Weeks
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