A method for training recurrent neural networks (RNNs) by extending the concept of backpropagation used in feedforward networks to take into account the temporal sequence of data.
BPTT is commonly used in natural language processing applications such as language modeling and machine translation, where the RNN must process sequences of words or characters to generate coherent output.