Garrett explains the concept of multilayer LSTMs, emphasizing the importance of stacking multiple LSTM layers to enhance model performance. He breaks down the structure of an LSTM, detailing how input word vectors are processed through multiple layers, each contributing to the final prediction. This approach not only maintains state but also optimizes the flow of information across layers, making it more accessible for learners in the field.
