Summary: Recurrent Neural Networks

Understand the fundamentals of recurrent neural networks, including their design from feed-forward networks and training using backpropagation through time. Learn about challenges like vanishing and exploding gradients, different RNN architectures, practical NLP applications such as named entity recognition, and techniques for generating token embeddings using character embeddings and convolution.