000			01656cam a2200421Ia 4500
999			_c256041 _d256041
001			12866052
003			OSt
005			20170712145949.0
006			m o d
007			cr unu||||||||
008			160623s2016 enka o 001 0 eng d
020			_a9781785283147
020			_a1785283146
020			_z9781785282195
035			_a(OCoLC)ocn952135848
037			_aCL0500000750 _bSafari Books Online
040			_aUMI _beng _cUMI _erda _epn
041			_aspa
049			_aUMIA
050		4	_aQA76.73 .J38 S846 2016
100	1		_aSugomori, Yusuke, _eauthor.
245	1	0	_aJava deep learning essentials : _bdive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java / _cYusuke Sugomori. _h[Electronic resource]
264		1	_aBirmingham, UK : _bPackt Publishing, _c2016.
300			_a1 online resource (1 volume) : _billustrations.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aCommunity experience distilled
500			_aIncludes index.
504			_aIncludes bibliographical references and index.
505			_aChapter 1: Deep Learning Overview -- Chapter 2: Algorithms for Machine Learning – Preparing for Deep Learning -- Chapter 3: Deep Belief Nets and Stacked Denoising Autoencoders -- Chapter 4: Dropout and Convolutional Neural Networks -- Chapter 5: Exploring Java Deep Learning Libraries – DL4J, ND4J, and More -- Chapter 6: Approaches to Practical Applications – Recurrent Neural Networks and More -- Chapter 7: Other Important Deep Learning Libraries -- Chapter 8: What's Next? -- Index.
520			_aGo beyond the theory and put Deep Learning into practice with JavaFind out how to build a range of Deep Learning algorithms using a range of leading frameworks including DL4J, Theano and CaffeWhether you're a data scientist or Java developer, dive in and find out how to tackle Deep LearningWho This Book Is ForThis book is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It would also be good for machine learning users who intend to leverage deep learning in their projects.What You Will LearnGain a practical understanding of machine learning and deep learning algorithmsImplement machine learning algorithms related to deep learningExplore neural networks using some of the most popular deep learning frameworksDive into Deep Belief Nets and Stacked Denoising Autoencoder algorithmsDiscover more deep learning algorithms with Dropout and Convolutional Neural NetworksGain an insight into the deep learning library DL4J and its practical usesGet to know device strategies in order to use deep learning algorithms and libraries in the real worldExplore deep learning further with Theano, TensorFlow, and CaffeIn DetailAI and deep learning are transforming the way we understand software, making computers more intelligent. Deep learning algorithms are being used across a broad range of industries, moving beyond the realm of data science.Starting with an introduction to basic machine learning algorithms, Java Deep Learning Essentials takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. You'll then start exploring neural networks and identify how to tackle challenges in large networks using advanced algorithms. You will learn how to use the DL4J library and solve challenging problems in image processing, speech recognition, and language modeling. You'll also get to grips with Theano, TensorFlow, and Caffe, two of the most important tools in deep learning today. By the end of the book, you'll be ready to tackle deep learning with Java and become a part of the deep learning revolution!
650		0	_aJava (Computer program language)
650		0	_aMachine learning.
650		0	_aApplication software _xDevelopment.
856	4	0	_uhttp://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1243158&site=ehost-live _zPresione para acceder el libro en línea
942			_2lcc _c7 _hQA76.73 .J38 S846 2016