A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithm

In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Com