Building a BiLSTM Intent Classifier in PyTorch: Vocab, Packing, and Pooling
Building a BiLSTM Intent Classifier in PyTorch: Vocab, Packing, and Pooling
The practical layer between sequence-model theory and a working PyTorch classifier — building a vocabulary, batching variable-length sentences, packing sequences for the LSTM, and pooling the output back into a single vector.