Deep Learning: A Comprehensive Guide

1) Focuses on the concepts and implementation strategies of various Deep Learning algorithms through properly curated examples.
2) The subject area will be valid for the next 10 years or so, as Deep Learning theory/algorithms and their applications will not be outdated easily. Hence there will be demand for such a book in the market.
3) In comparison to other titles, this book rigorously covers mathematical and conceptual details of relevant topics.