Detalles MARC
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05029cam a2200577Ii 4500 |
| 001 - CONTROL NUMBER |
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ocn952135848 |
| 003 - CONTROL NUMBER IDENTIFIER |
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OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20220613190725.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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160623s2016 enka o 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781785283147 |
| Qualifying information |
electronic book |
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| International Standard Book Number |
1785283146 |
| Qualifying information |
electronic book |
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| Canceled/invalid ISBN |
9781785282195 |
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| Canceled/invalid ISBN |
1785282190 |
| 035 ## - |
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| System control number |
1243158 |
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| System control number |
(OCoLC)952135848 |
| 037 ## - |
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| Stock number |
CL0500000750 |
| Source of stock number/acquisition |
Safari Books Online |
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| Stock number |
5361E8E1-C14F-4986-9A44-3E07622C079E |
| Source of stock number/acquisition |
OverDrive, Inc. |
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http://www.overdrive.com |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
UMI |
| Language of cataloging |
eng |
| Description conventions |
rda |
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pn |
| Transcribing agency |
UMI |
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N$T |
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TEFOD |
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N$T |
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OCLCF |
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N$T |
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KSU |
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DEBBG |
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DEBSZ |
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CEF |
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AGLDB |
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IGB |
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STF |
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YDXIT |
| 049 ## - LOCAL HOLDINGS (OCLC) |
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| Holding library |
MAIN |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
QA76.73.J38 |
| Item number |
S84 2016 |
| 072 #7 - |
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| Subject category code |
COM |
| Subject category code subdivision |
051280 |
| Source |
bisacsh |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
005.13/3 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Sugomori, Yusuke, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
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| Title |
Java deep learning essentials : |
| Remainder of title |
dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java / |
| Statement of responsibility, etc. |
Yusuke Sugomori. |
| 264 #1 - |
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| Place of production, publication, distribution, manufacture |
Birmingham : |
| Name of producer, publisher, distributor, manufacturer |
Packt Publishing, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2016. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource : |
| Other physical details |
illustrations. |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 490 1# - SERIES STATEMENT |
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| Series statement |
Community experience distilled |
| 500 ## - GENERAL NOTE |
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| General note |
Includes index. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
1: 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 ## - SUMMARY, ETC. |
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| Summary, etc. |
About 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 ## - |
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| Source of description note |
Description based on online resource; title from digital title page (viewed on September 05, 2019). |
| 590 ## - LOCAL NOTE (RLIN) |
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| Local note |
Master record variable field(s) change: 050, 082 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Java (Computer program language) |
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Machine learning. |
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| Topical term or geographic name entry element |
Application software |
| General subdivision |
Development. |
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| Topical term or geographic name entry element |
COMPUTERS / Programming Languages / Java |
| Source of heading or term |
bisacsh |
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| Topical term or geographic name entry element |
Application software |
| General subdivision |
Development. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00811707 |
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| Topical term or geographic name entry element |
Java (Computer program language) |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst00982065 |
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| Topical term or geographic name entry element |
Machine learning. |
| Source of heading or term |
fast |
| Authority record control number or standard number |
(OCoLC)fst01004795 |
| 655 #4 - |
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| Genre/form data or focus term |
Electronic books. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
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| Uniform title |
Community experience distilled. |
| 856 ## - |
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| Uniform Resource Identifier |
https://login.ezproxy.pucpr.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1243158 |
| Link text |
Acceso Remoto |
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| Materials specified |
EBSCOhost |
| Uniform Resource Identifier |
https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1243158 |
| Link text |
Acceso en el Campus PUCPR |
| 942 ## - |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Libro electrónico |