This revised edition of neural networks is an up-to-date exposition of the subject andcontinues to provide an understanding of the underlying geometry of foundation neuralnetwork models while stressing on heuristic explanations of theoretical results. Thehighlight of this book is its easy-to-read format and a balanced mix of both theory andpractice, without compromising on the requisite mathematical rigor. Professor kumar,in this book, has successfully maintained excellent pictorial description integrated withthe concepts and interesting pedagogy to render sound learning.