000			04139cam a22005178i 4500
001			9781003231530
003			FlBoTFG
005			20240213122833.0
006			m o d
007			cr |||||||||||
008			210915s2022 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003231530 _q(ebook)
020			_a1003231535
020			_a9781000504378 _q(electronic bk. : EPUB)
020			_a1000504379 _q(electronic bk. : EPUB)
020			_a9781000504347 _q(electronic bk. : PDF)
020			_a1000504344 _q(electronic bk. : PDF)
020			_z9781032126098 _q(hardback)
035			_a(OCoLC)1268545340
035			_a(OCoLC-P)1268545340
050	0	0	_aQA76.64
072		7	_aCOM _x059000 _2bisacsh
072		7	_aCOM _x071000 _2bisacsh
072		7	_aTJFM _2bicssc
082	0	0	_a005.1/17 _223
245	0	0	_aDeep learning in gaming and animations : _bprinciples and applications / _cedited by Vikas Chaudhary, Moolchand Sharma, Prerna Sharma and Deevyankar Agarwal.
264		1	_aBoca Raton : _bCRC Press, _c2022.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aExplainable ai (xai) for engineering applications
520			_a"Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision. As a result, computers can now achieve human-competitive performance in a wide range of perception and recognition tasks. Many of these systems are now available to the programmer via a range of so-called cognitive services. More recently, deep reinforcement learning has achieved ground-breaking success in several complex challenges. This book makes an enormous contribution to this beautiful, vibrant area of study: an area that is developing rapidly both in breadth and depth. Deep learning can cope with a broader range of tasks (and perform those tasks to increasing levels of excellence). This book lays a good foundation for the core concepts and principles of deep learning in gaming and animation, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into its applications. Also, some chapters introduce and cover novel ideas about how artificial intelligence, deep learning, and machine learning have changed the world in gaming and animation. It gives us a motivation that AI can also be applied in gaming, and there are limited textbooks in this area. The book we will write will comprehensively address all the aspects of AI & Deep Learning in gaming. Also, each chapter follows a similar structure so that students, teachers, and industry experts can orientate themselves within the text. There are few books in the field of gaming using AI. Our book Deep Learning in Gaming and Animation teaches you how to apply the power of deep learning to build complex reasoning tasks. After exposing you to the foundations of the machine and deep learning, you will use Python to build a bot and then teach it the game's rules. We also focus on how different technologies have revolutionized gaming and animation with various illustrations"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aObject-oriented programming (Computer science)
650		0	_aArtificial intelligence.
650		7	_aCOMPUTERS / Computer Engineering _2bisacsh
650		7	_aCOMPUTERS / Computer Animation _2bisacsh
700	1		_aChaudhary, Vikas, _eeditor.
700	1		_aSharma, Moolchand, _eeditor.
700	1		_aSharma, Prerna, _eeditor.
700	1		_aAgarwal, Deevyankar, _eeditor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003231530
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c6117 _d6117