LSTM¶

LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Unit)

• are both types of recurrent neural network (RNN) layers designed to handle sequential data

• gating mechanisms that allow them to capture long-term dependencies more effectively

LSTM vs GRU¶

https://medium.com/@prudhviraju.srivatsavaya/lstm-vs-gru-c1209b8ecb5a

LSTM:

• LSTM has more parameters,

• which can result in slightly slower training times compared to GRU,

• especially on larger datasets. GRU:

• With fewer parameters,

• GRU may have faster training times,

• making it more efficient for larger datasets.