000			03128nam\a2200409\a\4500
001			57697
005			20260208154346.0
008			240720t20232023cc a b 001 0 eng d
015			_aGBC2G2773 _2bnb
020			_a9789355421982 _q(paperback)
040			_aUKMGB _beng _erda _cUKMGB _dYDX _dOCLCF _dTOH _dVNVGU _dVP@ _dOCLCO _dKMS _dORZ _dCDX _dOCLCQ _dBD-DhIUB
082	0	4	_a006.31 _223 _b2022
100	1		_aGéron, Aurélien, _eauthor.
245	1	0	_aHands-on machine learning with Scikit-Learn, Keras and TensorFlow : _bconcepts, tools, and techniques to build intelligent systems / _cAurélien Géron.
250			_aThird edition.
260			_aIndia: _bShroff Publishers and Distributors Pvt.Ltd., _c2022
300			_axxv, 834 pages : _billustrations (chiefly color) ; _c24 cm
500			_aPrevious editions: 2019, 2017.
504			_aIncludes bibliographical references and index.
505	0		_aThe fundamentals of machine learning. The machine learning landscape ; End-to-end machine learning project ; Classification ; Training models ; Support vector machines ; Decision trees ; Ensemble learning and random forests ; Dimensionality reduction ; Unsupervised learning techniques -- Neural networks and deep learning. Introduction to artificial neural networks with Keras ; Training deep neural networks ; Custom models and training with TensorFlow ; Loading and preprocessing data with TensorFlow ; Deep computer vision using convolutional neural networks ; Processing sequences using RNNs and CNNs ; Natural language processing with RNNs and attention ; Autoencoders, GANs, and diffusion models ; Reinforcement learning ; Training and deploying TensorFlow models at scale.
520			_a"Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurelien Geron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started"--
526			_aCSE _bps _lREF
541			_aRisaam
630	0	0	_aTensorFlow.
650		0	_aPython (Computer program language)
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
650		6	_aApprentissage automatique.
650		6	_aPython (Langage de programmation)
650		6	_aIntelligence artificielle.
650		7	_aartificial intelligence. _2aat
650		7	_aArtificial intelligence _2fast
650		7	_aMachine learning _2fast
650		7	_aPython (Computer program language) _2fast
942			_2ddc _cBK
999			_c57697 _d57871