000			04994cam a2200433 i 4500
001			1407315777
003			OCoLC
005			20240906093807.0
006			m o d
007			cr un|---aucuu
008			231104s2023 sz o 000 0 eng d
020			_a3031454685 _q(electronic bk.)
020			_a9783031454684 _q(electronic bk.)
020			_z3031454677
020			_z9783031454677
024	7		_a10.1007/978-3-031-45468-4 _2doi
035			_a(OCoLC)1407315777 _z(OCoLC)1407278574 _z(OCoLC)1422256285
040			_aLIS CUI Abbottabad _beng _erda _cRDA _dYDX _dGW5XE _dN$T _dAU@ _dOCLCF _dTXA _dOCLCO
050		4	_aQ325.73 _b.B574 2024eb
082	0	4	_a006.3/1 _223/eng/20231117
100	1		_aBishop, Christopher M. _0https://id.loc.gov/authorities/names/n95083764
245	1	0	_aDeep learning : _bfoundations and concepts / _cChristopher M. Bishop, Hugh Bishop
264		1	_aCham : _bSpringer, _c2023
300			_a1 online resource (656 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
506			_aAvailable to OhioLINK libraries
520			_aThis book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary architectures and techniques, this essential book equips readers with a robust foundation for potential future specialization. The field of deep learning is undergoing rapid evolution, and therefore this book focusses on ideas that are likely to endure the test of time. The book is organized into numerous bite-sized chapters, each exploring a distinct topic, and the narrative follows a linear progression, with each chapter building upon content from its predecessors. This structure is well-suited to teaching a two-semester undergraduate or postgraduate machine learning course, while remaining equally relevant to those engaged in active research or in self-study. A full understanding of machine learning requires some mathematical background and so the book includes a self-contained introduction to probability theory. However, the focus of the book is on conveying a clear understanding of ideas, with emphasis on the real-world practical value of techniques rather than on abstract theory. Complex concepts are therefore presented from multiple complementary perspectives including textual descriptions, diagrams, mathematical formulae, and pseudo-code. Chris Bishop is a Technical Fellow at Microsoft and is the Director of Microsoft Research AI4Science. He is a Fellow of Darwin College Cambridge, a Fellow of the Royal Academy of Engineering, and a Fellow of the Royal Society. Hugh Bishop is an Applied Scientist at Wayve, a deep learning autonomous driving company in London, where he designs and trains deep neural networks. He completed his MPhil in Machine Learning and Machine Intelligence at Cambridge University. Chris Bishop wrote a terrific textbook on neural networks in 1995 and has a deep knowledge of the field and its core ideas. His many years of experience in explaining neural networks have made him extremely skillful at presenting complicated ideas in the simplest possible way and it is a delight to see these skills applied to the revolutionary new developments in the field. -- Geoffrey Hinton "With the recent explosion of deep learning and AI as a research topic, and the quickly growing importance of AI applications, a modern textbook on the topic was badly needed. The "New Bishop" masterfully fills the gap, covering algorithms for supervised and unsupervised learning, modern deep learning architecture families, as well as how to apply all of this to various application areas." Yann LeCun This excellent and very educational book will bring the reader up to date with the main concepts and advances in deep learning with a solid anchoring in probability. These concepts are powering current industrial AI systems and are likely to form the basis of further advances towards artificial general intelligence. -- Yoshua Bengio
650		0	_aDeep learning (Machine learning) _0https://id.loc.gov/authorities/subjects/sh2021006947
700	1		_aBishop, Hugh _c(Scientist) _0https://id.loc.gov/authorities/names/ns2024000778
710	2		_aOhio Library and Information Network. _0https://id.loc.gov/authorities/names/no95058981
776	0	8	_iPrint version: _aBishop, Christopher M. _tDeep Learning _dCham : Springer International Publishing AG,c2023 _z9783031454677
852			_t10003000038717
856	4	0	_3OhioLINK _zConnect to resource _uhttps://rave.ohiolink.edu/ebooks/ebc2/9783031454684
856	4	0	_3SpringerLink _zConnect to resource _uhttps://link.springer.com/10.1007/978-3-031-45468-4
856	4	0	_3SpringerLink _zConnect to resource (off-campus) _uhttps://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-3-031-45468-4
942			_2ddc _cBK _n0
999			_c489659 _d489659