Java deep learning essentials :: 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 /
AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries - as the fundamental driver of AI, being able to tackle Deep Learning is go...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2016.
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries - as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It's something that's moving beyond the realm of data science - if you're a Java developer, this book gives you a great opportunity to expand your skillset. Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you've got to grips with the fundamental mathematical principles, you'll 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 apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you'll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today. |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource : illustrations. |
| ISBN: | 9781785283147 1785283146 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-ocn952135848 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 160623s2016 enka o 001 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d N$T |d TEFOD |d N$T |d OCLCF |d N$T |d KSU |d DEBBG |d DEBSZ |d CEF |d AGLDB |d IGB |d STF |d YDXIT |d ESU |d OCLCO |d OCLCQ |d OCLCO |d OCLCL |d OCLCQ | ||
| 020 | |a 9781785283147 |q electronic book | ||
| 020 | |a 1785283146 |q electronic book | ||
| 020 | |z 9781785282195 | ||
| 020 | |z 1785282190 | ||
| 035 | |a (OCoLC)952135848 | ||
| 037 | |a CL0500000750 |b Safari Books Online | ||
| 037 | |a 5361E8E1-C14F-4986-9A44-3E07622C079E |b OverDrive, Inc. |n http://www.overdrive.com | ||
| 050 | 4 | |a QA76.73.J38 |b S84 2016 | |
| 072 | 7 | |a COM |x 051280 |2 bisacsh | |
| 082 | 7 | |a 005.13/3 |2 23 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Sugomori, Yusuke, |e author. | |
| 245 | 1 | 0 | |a Java deep learning essentials : |b 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 / |c Yusuke Sugomori. |
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c 2016. | |
| 300 | |a 1 online resource : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Community experience distilled | |
| 500 | |a Includes index. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on September 05, 2019). | ||
| 505 | 0 | |a Java deep learning essentials : 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 -- About the Author -- About the Reviewers -- Table of Contents -- Preface -- Chapter 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 | 3 | |a AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries - as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It's something that's moving beyond the realm of data science - if you're a Java developer, this book gives you a great opportunity to expand your skillset. Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you've got to grips with the fundamental mathematical principles, you'll 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 apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you'll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today. | |
| 650 | 0 | |a Java (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh95008574 | |
| 650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
| 650 | 0 | |a Application software |x Development. |0 http://id.loc.gov/authorities/subjects/sh95009362 | |
| 650 | 6 | |a Java (Langage de programmation) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Java |2 bisacsh | |
| 650 | 7 | |a Application software |x Development |2 fast | |
| 650 | 7 | |a Java (Computer program language) |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 758 | |i has work: |a Java Deep Learning Essentials (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3VHJy6jGrGBpTGpDRJDD3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 830 | 0 | |a Community experience distilled. |0 http://id.loc.gov/authorities/names/no2011030603 | |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1243158 |3 Volltext |
| 938 | |a EBSCOhost |b EBSC |n 1243158 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn952135848 |
|---|---|
| _version_ | 1816882352181215232 |
| adam_text | |
| any_adam_object | |
| author | Sugomori, Yusuke |
| author_facet | Sugomori, Yusuke |
| author_role | aut |
| author_sort | Sugomori, Yusuke |
| author_variant | y s ys |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.73.J38 S84 2016 |
| callnumber-search | QA76.73.J38 S84 2016 |
| callnumber-sort | QA 276.73 J38 S84 42016 |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| contents | Java deep learning essentials : 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 -- About the Author -- About the Reviewers -- Table of Contents -- Preface -- Chapter 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. |
| ctrlnum | (OCoLC)952135848 |
| dewey-full | 005.13/3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.13/3 |
| dewey-search | 005.13/3 |
| dewey-sort | 15.13 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04914cam a2200565 i 4500</leader><controlfield tag="001">ZDB-4-EBA-ocn952135848</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr cnu---unuuu</controlfield><controlfield tag="008">160623s2016 enka o 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">UMI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">UMI</subfield><subfield code="d">N$T</subfield><subfield code="d">TEFOD</subfield><subfield code="d">N$T</subfield><subfield code="d">OCLCF</subfield><subfield code="d">N$T</subfield><subfield code="d">KSU</subfield><subfield code="d">DEBBG</subfield><subfield code="d">DEBSZ</subfield><subfield code="d">CEF</subfield><subfield code="d">AGLDB</subfield><subfield code="d">IGB</subfield><subfield code="d">STF</subfield><subfield code="d">YDXIT</subfield><subfield code="d">ESU</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781785283147</subfield><subfield code="q">electronic book</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1785283146</subfield><subfield code="q">electronic book</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781785282195</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">1785282190</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)952135848</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">CL0500000750</subfield><subfield code="b">Safari Books Online</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">5361E8E1-C14F-4986-9A44-3E07622C079E</subfield><subfield code="b">OverDrive, Inc.</subfield><subfield code="n">http://www.overdrive.com</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.73.J38</subfield><subfield code="b">S84 2016</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="x">051280</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">005.13/3</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sugomori, Yusuke,</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Java deep learning essentials :</subfield><subfield code="b">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 /</subfield><subfield code="c">Yusuke Sugomori.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham :</subfield><subfield code="b">Packt Publishing,</subfield><subfield code="c">2016.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource :</subfield><subfield code="b">illustrations.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Community experience distilled</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from digital title page (viewed on September 05, 2019).</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Java deep learning essentials : 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 -- About the Author -- About the Reviewers -- Table of Contents -- Preface -- Chapter 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.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries - as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It's something that's moving beyond the realm of data science - if you're a Java developer, this book gives you a great opportunity to expand your skillset. Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you've got to grips with the fundamental mathematical principles, you'll 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 apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you'll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Java (Computer program language)</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh95008574</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85079324</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application software</subfield><subfield code="x">Development.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh95009362</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Java (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Apprentissage automatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Logiciels d'application</subfield><subfield code="x">Développement.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Programming Languages / Java</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Application software</subfield><subfield code="x">Development</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Java (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">fast</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Java Deep Learning Essentials (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PD3VHJy6jGrGBpTGpDRJDD3</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Community experience distilled.</subfield><subfield code="0">http://id.loc.gov/authorities/names/no2011030603</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1243158</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">1243158</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-4-EBA-ocn952135848 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:27:15Z |
| institution | BVB |
| isbn | 9781785283147 1785283146 |
| language | English |
| oclc_num | 952135848 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource : illustrations. |
| psigel | ZDB-4-EBA |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | Packt Publishing, |
| record_format | marc |
| series | Community experience distilled. |
| series2 | Community experience distilled |
| spelling | Sugomori, Yusuke, author. Java deep learning essentials : 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 / Yusuke Sugomori. Birmingham : Packt Publishing, 2016. 1 online resource : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Community experience distilled Includes index. Description based on online resource; title from digital title page (viewed on September 05, 2019). Java deep learning essentials : 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 -- About the Author -- About the Reviewers -- Table of Contents -- Preface -- Chapter 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. AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries - as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It's something that's moving beyond the realm of data science - if you're a Java developer, this book gives you a great opportunity to expand your skillset. Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you've got to grips with the fundamental mathematical principles, you'll 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 apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you'll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today. Java (Computer program language) http://id.loc.gov/authorities/subjects/sh95008574 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Java (Langage de programmation) Apprentissage automatique. Logiciels d'application Développement. COMPUTERS / Programming Languages / Java bisacsh Application software Development fast Java (Computer program language) fast Machine learning fast has work: Java Deep Learning Essentials (Text) https://id.oclc.org/worldcat/entity/E39PD3VHJy6jGrGBpTGpDRJDD3 https://id.oclc.org/worldcat/ontology/hasWork Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1243158 Volltext |
| spellingShingle | Sugomori, Yusuke Java deep learning essentials : 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 / Community experience distilled. Java deep learning essentials : 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 -- About the Author -- About the Reviewers -- Table of Contents -- Preface -- Chapter 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. Java (Computer program language) http://id.loc.gov/authorities/subjects/sh95008574 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Java (Langage de programmation) Apprentissage automatique. Logiciels d'application Développement. COMPUTERS / Programming Languages / Java bisacsh Application software Development fast Java (Computer program language) fast Machine learning fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh95008574 http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh95009362 |
| title | Java deep learning essentials : 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 / |
| title_auth | Java deep learning essentials : 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 / |
| title_exact_search | Java deep learning essentials : 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 / |
| title_full | Java deep learning essentials : 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 / Yusuke Sugomori. |
| title_fullStr | Java deep learning essentials : 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 / Yusuke Sugomori. |
| title_full_unstemmed | Java deep learning essentials : 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 / Yusuke Sugomori. |
| title_short | Java deep learning essentials : |
| title_sort | java deep learning essentials 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 |
| title_sub | 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 / |
| topic | Java (Computer program language) http://id.loc.gov/authorities/subjects/sh95008574 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Java (Langage de programmation) Apprentissage automatique. Logiciels d'application Développement. COMPUTERS / Programming Languages / Java bisacsh Application software Development fast Java (Computer program language) fast Machine learning fast |
| topic_facet | Java (Computer program language) Machine learning. Application software Development. Java (Langage de programmation) Apprentissage automatique. Logiciels d'application Développement. COMPUTERS / Programming Languages / Java Application software Development Machine learning |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1243158 |
| work_keys_str_mv | AT sugomoriyusuke javadeeplearningessentialsdiveintothefutureofdatascienceandlearnhowtobuildthesophisticatedalgorithmsthatarefundamentaltodeeplearningandaiwithjava |