With applications ranging from motion detection to financial forecasting, recurrent neural networks (RNNs) have emerged as an integral part of neural network research. This book reflects the worldwide interest in and virtually unlimited potential of RNNs, providing a summary of the design, applications, research, and challenges of this field.