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

By: Material type: TextTextLanguage: English Publication details: Cham, Switzerland : Springer, c2021 Description: XXII, 352 p. : illISBN:
  • 9783030686260
Subject(s): DDC classification:
  • 006.3 DUB
Online resources: Summary: Summary: An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning by Simant Dube 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.
Holdings
Item type Current library Collection Shelving location Call number Copy number Status Date due Barcode
Lending Collection Lending Collection Circulation Section Department of Computer & Information Systems Engineering Circulation Section 006.3 DUB 2022-23 Available 97989

Summary:
An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning by Simant Dube
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.