#21 Long short-term memory (LSTMs)

You'll need to read the paper in advance. Ideally please also bring along your own copies of the paper to refer to in the session.

25th February 2026: Long short-term memory

When: Wednesday 25th February 2026, 6 pm – 8 pm.

Where: The Castle Inn, 36 Castle Street, Cambridge, UK. (Most
likely we'll be at one of the large tables upstairs.)

Paper: S. Hochreiter and J. Schmidhuber. Long Short-Term
Memory. In Neural Computation, 9, 1735–1780, 1997.
URL:
https://www.researchgate.net/publication/13853244_Long_Short-Term_Memory

Long Short-Term Memory (LSTM) networks are a type of recurrent neural net capable of learning long-range
dependencies in sequential data. They were the state of the art in language modelling prior to transformers, and remain highly relevant to modern machine learning.