Springer An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning

This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI,  practitioners and researchers will equally benefit from the book. From the Back Cover This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. About the Author Dr. Simant Dube is a Silicon Valley veteran with over two decades of experience in industry. He is currently Head of Machine Vision, Advanced AI, at Varian Medical Systems, Palo Alto where he leads the application of AI in medicine.  Prior to his present role, Dr. Dube was Technical Director, Center for Advanced Machine Learning, at Symantec, Mountain View. Trained as a computer engineer, he has worked in medical imaging, cybersecurity, robotics, visual search, web search and biotechnology. In addition to his Silicon Valley experience, Dr. Dube is a former academic and educator and he has supervised students including those at PhD level. He recently taught courses in Deep Learning at New College of Florida, Sarasota, for one year and contributed to the development of an inaugural data science program. Dr. Dube was a visiting faculty member at Indian Institute of Technology, Kanpur and Delhi, as a Ramanujan Fellow. He was a Canada International Fellow at Western University, London, Canada and he taught computer science at the University of New England, Armidale, Australia.