000			01953nam a22002057a 4500
005			20240206173604.0
008			240206b |||||||| |||| 00| 0 eng d
020			_a9783030686260
082			_a681.3 _bDUB
100			_aDube, Simant _913968
245			_aAn intuitive exploration of artificial intelligence: _btheory and applications of deep learning
260			_bSpringer _aCham _c2021
300			_axxii, 352 p.
365			_aEURO _b59.99
520			_aThis 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. (https://link.springer.com/book/10.1007/978-3-030-68624-6#about-this-book)
650			_aMachine learning _915068
650			_aNeural networks _915106
650			_aNatural language processing _915107
942			_cBK _2ddc
999			_c5700 _d5700