Multiple Layers

Explore the process of stacking multiple LSTM cell layers in recurrent neural networks to enhance the ability to capture complex sequence features. Learn how to construct multi-layer LSTMs in TensorFlow, apply dropout for regularization, and understand their impact on language modeling tasks. This lesson guides you through implementing a stacked LSTM model for improved NLP outcomes.