| 000 | 05029cam a2200577Ii 4500 | ||
|---|---|---|---|
| 001 | ocn952135848 | ||
| 003 | OCoLC | ||
| 005 | 20220613190725.0 | ||
| 006 | m d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 160623s2016 enka o 001 0 eng d | ||
| 020 |
_a9781785283147 _qelectronic book |
||
| 020 |
_a1785283146 _qelectronic book |
||
| 020 | _z9781785282195 | ||
| 020 | _z1785282190 | ||
| 035 | _a1243158 | ||
| 035 | _a(OCoLC)952135848 | ||
| 037 |
_aCL0500000750 _bSafari Books Online |
||
| 037 |
_a5361E8E1-C14F-4986-9A44-3E07622C079E _bOverDrive, Inc. _nhttp://www.overdrive.com |
||
| 040 |
_aUMI _beng _erda _epn _cUMI _dN$T _dTEFOD _dN$T _dOCLCF _dN$T _dKSU _dDEBBG _dDEBSZ _dCEF _dAGLDB _dIGB _dSTF _dYDXIT |
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| 049 | _aMAIN | ||
| 050 | 4 |
_aQA76.73.J38 _bS84 2016 |
|
| 072 | 7 |
_aCOM _x051280 _2bisacsh |
|
| 082 | 0 | 4 |
_a005.13/3 _223 |
| 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. |
| 264 | 1 |
_aBirmingham : _bPackt Publishing, _c2016. |
|
| 300 |
_a1 online resource : _billustrations. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 490 | 1 | _aCommunity experience distilled | |
| 500 | _aIncludes index. | ||
| 504 | _aIncludes index. | ||
| 505 | _a1: Deep Learning Overview -- 2: Algorithms for Machine Learning – Preparing for Deep Learning -- 3: Deep Belief Nets and Stacked Denoising Autoencoders -- 4: Dropout and Convolutional Neural Networks -- 5: Exploring Java Deep Learning Libraries – DL4J, ND4J, and More --6: Approaches to Practical Applications – Recurrent Neural Networks and More -- 7: Other Important Deep Learning Libraries -- 8: What's Next? -- Index. | ||
| 520 | _aAbout This BookGo 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! | ||
| 588 | _aDescription based on online resource; title from digital title page (viewed on September 05, 2019). | ||
| 590 | _aMaster record variable field(s) change: 050, 082 | ||
| 650 | 0 | _aJava (Computer program language) | |
| 650 | 0 | _aMachine learning. | |
| 650 | 0 |
_aApplication software _xDevelopment. |
|
| 650 | 7 |
_aCOMPUTERS / Programming Languages / Java _2bisacsh |
|
| 650 | 7 |
_aApplication software _xDevelopment. _2fast _0(OCoLC)fst00811707 |
|
| 650 | 7 |
_aJava (Computer program language) _2fast _0(OCoLC)fst00982065 |
|
| 650 | 7 |
_aMachine learning. _2fast _0(OCoLC)fst01004795 |
|
| 655 | 4 | _aElectronic books. | |
| 830 | 0 | _aCommunity experience distilled. | |
| 856 |
_uhttps://login.ezproxy.pucpr.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1243158 _yAcceso Remoto |
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| 856 | 4 | 0 |
_3EBSCOhost _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1243158 _yAcceso en el Campus PUCPR |
| 942 |
_2lcc _c7 |
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| 999 |
_c297540 _d297540 |
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