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015			_aGBB8K0004 _2bnb
020			_a9783319730042
020			_a3319730045
020			_z9783319730035
020			_z3319730037
024	7		_a10.1007/978-3-319-73004-2 _2doi
035			_a(Uk)019100192
037			_acom.springer.onix.9783319730042 _bSpringer Nature
040			_aUPM _beng _erda _epn _cUPM _dOCLCO _dGW5XE _dYDX _dOCLCF _dUAB _dOCLCQ _dMERER _dOCLCQ _dOCL _dCOO _dJG0 _dVT2 _dOCLCQ _dU3W _dOH1 _dOCLCQ _dUk
042			_aukblsr
050		4	_aQA76.9.D343
072		7	_aUNF _2bicssc
072		7	_aUYQE _2bicssc
072		7	_aCOM021030 _2bisacsh
082	0	4	_a006.312 _223
100	1		_aSkansi, Sandro, _eauthor. _0(orcid)http://orcid.org/0000-0002-3851-1186 _939797
245	1	0	_aIntroduction to deep learning : _bfrom logical calculus to artificial intelligence / _cSandro Skansi.
264		1	_aCham, Switzerland : _bSpringer, _c2018.
300			_a1 online resource (XIII, 191 pages) : _b38 illustrations.
336			_atext _2rdacontent
337			_acomputer _2rdamedia
338			_aonline resource _2rdacarrier
490	1		_aUndergraduate Topics in Computer Science, _x1863-7310
500			_aAcademic
504			_aIncludes bibliographical references and index.
505	0		_aFrom Logic to Cognitive Science -- Mathematical and Computational Prerequisites -- Machine Learning Basics -- Feed-forward Neural Networks -- Modifications and Extensions to a Feed-forward Neural Network -- Convolutional Neural Networks -- Recurrent Neural Networks -- Autoencoders -- Neural Language Models -- An Overview of Different Neural Network Architectures -- Conclusion.
506	1		_aLegal Deposit; _cOnly available on premises controlled by the deposit library and to one user at any one time; _eThe Legal Deposit Libraries (Non-Print Works) Regulations (UK). _5UkOxU
540			_aRestricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. _5UkOxU
546			_aEnglish
650		0	_aComputer science. _939798
650		0	_aMachine learning. _938133
650		0	_aNeural networks (Computer science) _916199
650		0	_aArtificial intelligence _xMathematics. _939799
650		0	_aData mining. _939800
650		0	_aOptical pattern recognition. _939801
650		0	_aCoding theory. _939802
650		0	_aComputer vision. _939803
650		7	_aPattern perception. _2fast _0(OCoLC)fst01055254 _939804
650		7	_aNeural networks (Computer science) _2fast _0(OCoLC)fst01036260 _916199
650		7	_aImage processing. _2fast _0(OCoLC)fst00967501 _939805
650		7	_aData mining. _2fast _0(OCoLC)fst00887946 _939800
650		7	_aComputer science. _2fast _0(OCoLC)fst00872451 _939798
650		7	_aCoding theory. _2fast _0(OCoLC)fst00866237 _939802
650		7	_aComputers _xComputer Vision & Pattern Recognition. _2bisacsh _939806
650		7	_aMathematics _xApplied. _2bisacsh _939807
650		7	_aComputers _xInformation Theory. _2bisacsh _939808
650		7	_aComputers _xComputer Graphics. _2bisacsh _939809
650		7	_aPattern recognition. _2bicssc _939810
650		7	_aMathematical modelling. _2bicssc _939811
650		7	_aCoding theory & cryptology. _2bicssc _939812
650		7	_aImage processing. _2bicssc _939805
650		7	_aComputers _xDatabase Management _xData Mining. _2bisacsh _939813
650		7	_aData mining. _2bicssc _939800
655		4	_aElectronic books. _939814
830		0	_aUndergraduate topics in computer science, _x1863-7310 _937973
856			_uhttps://online.fliphtml5.com/lluzx/ekpg/ _zЦахимаар унших
884			_aLDL ebooks ONIX to marcxml transformation using Record_Load-eBooks_Legal_Deposit_onix2marc_v2-1.xsl _g20181024 _kcom.springer.onix.9783319730042 _qUk
942			_2ddc _cEB
999			_c17760 _d17760