Sepp Hochreiter
(6 articles)
RNN
Recurrent Neural Network
Recurrent Neural Network
Class of neural networks where connections between nodes form a directed graph along a temporal sequence, enabling them to exhibit temporal dynamic behavior for a sequence of inputs.
Generality: 892
Vanishing Gradient
Phenomenon in neural networks where gradients of the network's parameters become very small, effectively preventing the weights from changing their values during training.
Generality: 773
LSTM
Long Short-Term Memory
Long Short-Term Memory
Type of recurrent neural network architecture designed to learn long-term dependencies in sequential data.
Generality: 815
Gating Mechanism
Control function that regulates the flow of information through the model, deciding what information to keep, discard, or update.
Generality: 800
Sequence Prediction
Involves forecasting the next item(s) in a sequence based on the observed pattern of prior sequences.
Generality: 825
xLSTM
Extended form of Long Short-Term Memory (LSTM), integrating enhancements for scalability and efficiency in DL models.
Generality: 675