Neural networks with Keras cookbook :: over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots.
This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for struct...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing Ltd,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data. Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems. Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game. By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter. |
| Beschreibung: | 1 online resource (558 pages) |
| ISBN: | 9781789342109 1789342104 |
Internformat
MARC
| LEADER | 00000cam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-on1089536810 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 190309s2019 enk o 000 0 eng d | ||
| 040 | |a EBLCP |b eng |e pn |c EBLCP |d N$T |d UKMGB |d OCLCF |d OCLCQ |d ESU |d NLW |d OCLCO |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO |d OCLCL |d TMA |d OCLCQ | ||
| 015 | |a GBB970012 |2 bnb | ||
| 016 | 7 | |a 019299037 |2 Uk | |
| 020 | |a 9781789342109 |q (electronic bk.) | ||
| 020 | |a 1789342104 |q (electronic bk.) | ||
| 035 | |a (OCoLC)1089536810 | ||
| 037 | |a 9781789342109 |b Packt Publishing | ||
| 050 | 4 | |a QA76.87 | |
| 072 | 7 | |a COM |x 051360 |2 bisacsh | |
| 082 | 7 | |a 005.133 |2 23 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Ayyadevara, V. Kishore. | |
| 245 | 1 | 0 | |a Neural networks with Keras cookbook : |b over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. |
| 260 | |a Birmingham : |b Packt Publishing Ltd, |c 2019. | ||
| 300 | |a 1 online resource (558 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed April 8, 2019) | |
| 505 | 0 | |a Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots -- Dedication -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Building a Feedforward Neural Network -- Chapter 2: Building a Deep Feedforward Neural Network -- Chapter 3: Applications of Deep Feedforward Neural Networks -- Chapter 4: Building a Deep Convolutional Neural Network -- Chapter 5: Transfer Learning -- Chapter 6: Detecting and Localizing Objects in Images -- Chapter 7: Image Analysis Applications in Self-Driving Cars -- Chapter 8: Image Generation -- Chapter 9: Encoding Inputs -- Chapter 10: Text Analysis Using Word Vectors -- Chapter 11: Building a Recurrent Neural Network -- Chapter 12: Applications of a Many-to-One Architecture RNN -- Chapter 13: Sequence-to-Sequence Learning -- Chapter 14: End-to-End Learning -- Chapter 15: Audio Analysis -- Chapter 16: Reinforcement Learning -- Other Books You May Enjoy -- Index. | |
| 520 | 3 | |a This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data. Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems. Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game. By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter. | |
| 650 | 0 | |a Python (Computer program language) |0 http://id.loc.gov/authorities/subjects/sh96008834 | |
| 650 | 0 | |a Neural networks (Computer science) |0 http://id.loc.gov/authorities/subjects/sh90001937 | |
| 650 | 0 | |a Machine learning. |0 http://id.loc.gov/authorities/subjects/sh85079324 | |
| 650 | 2 | |a Neural Networks, Computer |0 https://id.nlm.nih.gov/mesh/D016571 | |
| 650 | 2 | |a Machine Learning |0 https://id.nlm.nih.gov/mesh/D000069550 | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Neural networks & fuzzy systems. |2 bicssc | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x Python. |2 bisacsh | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 758 | |i has work: |a Neural networks with Keras cookbook (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3FHQfwq66RyjK9gbvchXm |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 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=2037521 |3 Volltext |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5721793 | ||
| 938 | |a EBSCOhost |b EBSC |n 2037521 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1089536810 |
|---|---|
| _version_ | 1816882486812082176 |
| adam_text | |
| any_adam_object | |
| author | Ayyadevara, V. Kishore |
| author_facet | Ayyadevara, V. Kishore |
| author_role | |
| author_sort | Ayyadevara, V. Kishore |
| author_variant | v k a vk vka |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76.87 |
| callnumber-search | QA76.87 |
| callnumber-sort | QA 276.87 |
| callnumber-subject | QA - Mathematics |
| collection | ZDB-4-EBA |
| contents | Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots -- Dedication -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Building a Feedforward Neural Network -- Chapter 2: Building a Deep Feedforward Neural Network -- Chapter 3: Applications of Deep Feedforward Neural Networks -- Chapter 4: Building a Deep Convolutional Neural Network -- Chapter 5: Transfer Learning -- Chapter 6: Detecting and Localizing Objects in Images -- Chapter 7: Image Analysis Applications in Self-Driving Cars -- Chapter 8: Image Generation -- Chapter 9: Encoding Inputs -- Chapter 10: Text Analysis Using Word Vectors -- Chapter 11: Building a Recurrent Neural Network -- Chapter 12: Applications of a Many-to-One Architecture RNN -- Chapter 13: Sequence-to-Sequence Learning -- Chapter 14: End-to-End Learning -- Chapter 15: Audio Analysis -- Chapter 16: Reinforcement Learning -- Other Books You May Enjoy -- Index. |
| ctrlnum | (OCoLC)1089536810 |
| dewey-full | 005.133 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.133 |
| dewey-search | 005.133 |
| dewey-sort | 15.133 |
| 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>04744cam a2200589 a 4500</leader><controlfield tag="001">ZDB-4-EBA-on1089536810</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">190309s2019 enk o 000 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">EBLCP</subfield><subfield code="b">eng</subfield><subfield code="e">pn</subfield><subfield code="c">EBLCP</subfield><subfield code="d">N$T</subfield><subfield code="d">UKMGB</subfield><subfield code="d">OCLCF</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">ESU</subfield><subfield code="d">NLW</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield><subfield code="d">TMA</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBB970012</subfield><subfield code="2">bnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">019299037</subfield><subfield code="2">Uk</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789342109</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1789342104</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1089536810</subfield></datafield><datafield tag="037" ind1=" " ind2=" "><subfield code="a">9781789342109</subfield><subfield code="b">Packt Publishing</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QA76.87</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="x">051360</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">005.133</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">Ayyadevara, V. Kishore.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Neural networks with Keras cookbook :</subfield><subfield code="b">over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Birmingham :</subfield><subfield code="b">Packt Publishing Ltd,</subfield><subfield code="c">2019.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (558 pages)</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="588" ind1="0" ind2=" "><subfield code="a">Online resource; title from PDF title page (EBSCO, viewed April 8, 2019)</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots -- Dedication -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Building a Feedforward Neural Network -- Chapter 2: Building a Deep Feedforward Neural Network -- Chapter 3: Applications of Deep Feedforward Neural Networks -- Chapter 4: Building a Deep Convolutional Neural Network -- Chapter 5: Transfer Learning -- Chapter 6: Detecting and Localizing Objects in Images -- Chapter 7: Image Analysis Applications in Self-Driving Cars -- Chapter 8: Image Generation -- Chapter 9: Encoding Inputs -- Chapter 10: Text Analysis Using Word Vectors -- Chapter 11: Building a Recurrent Neural Network -- Chapter 12: Applications of a Many-to-One Architecture RNN -- Chapter 13: Sequence-to-Sequence Learning -- Chapter 14: End-to-End Learning -- Chapter 15: Audio Analysis -- Chapter 16: Reinforcement Learning -- Other Books You May Enjoy -- Index.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data. Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems. Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game. By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh96008834</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Neural networks (Computer science)</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh90001937</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="2"><subfield code="a">Neural Networks, Computer</subfield><subfield code="0">https://id.nlm.nih.gov/mesh/D016571</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Machine Learning</subfield><subfield code="0">https://id.nlm.nih.gov/mesh/D000069550</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Réseaux neuronaux (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Apprentissage automatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Programming & scripting languages: general.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Artificial intelligence.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Neural networks & fuzzy systems.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">Programming Languages</subfield><subfield code="x">Python.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Machine learning</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Neural networks (Computer science)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Python (Computer program language)</subfield><subfield code="2">fast</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Neural networks with Keras cookbook (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PD3FHQfwq66RyjK9gbvchXm</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</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=2037521</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest Ebook Central</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL5721793</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">2037521</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-on1089536810 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:23Z |
| institution | BVB |
| isbn | 9781789342109 1789342104 |
| language | English |
| oclc_num | 1089536810 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (558 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt Publishing Ltd, |
| record_format | marc |
| spelling | Ayyadevara, V. Kishore. Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. Birmingham : Packt Publishing Ltd, 2019. 1 online resource (558 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from PDF title page (EBSCO, viewed April 8, 2019) Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots -- Dedication -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Building a Feedforward Neural Network -- Chapter 2: Building a Deep Feedforward Neural Network -- Chapter 3: Applications of Deep Feedforward Neural Networks -- Chapter 4: Building a Deep Convolutional Neural Network -- Chapter 5: Transfer Learning -- Chapter 6: Detecting and Localizing Objects in Images -- Chapter 7: Image Analysis Applications in Self-Driving Cars -- Chapter 8: Image Generation -- Chapter 9: Encoding Inputs -- Chapter 10: Text Analysis Using Word Vectors -- Chapter 11: Building a Recurrent Neural Network -- Chapter 12: Applications of a Many-to-One Architecture RNN -- Chapter 13: Sequence-to-Sequence Learning -- Chapter 14: End-to-End Learning -- Chapter 15: Audio Analysis -- Chapter 16: Reinforcement Learning -- Other Books You May Enjoy -- Index. This book will take you from the basics of neural networks to advanced implementations of architectures using a recipe-based approach. We will learn about how neural networks work and the impact of various hyper parameters on a network's accuracy along with leveraging neural networks for structured and unstructured data. Later, we will learn how to classify and detect objects in images. We will also learn to use transfer learning for multiple applications, including a self-driving car using Convolutional Neural Networks. We will generate images while leveraging GANs and also by performing image encoding. Additionally, we will perform text analysis using word vector based techniques. Later, we will use Recurrent Neural Networks and LSTM to implement chatbot and Machine Translation systems. Finally, you will learn about transcribing images, audio, and generating captions and also use Deep Q-learning to build an agent that plays Space Invaders game. By the end of this book, you will have developed the skills to choose and customize multiple neural network architectures for various deep learning problems you might encounter. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Réseaux neuronaux (Informatique) Apprentissage automatique. Programming & scripting languages: general. bicssc Artificial intelligence. bicssc Neural networks & fuzzy systems. bicssc COMPUTERS Programming Languages Python. bisacsh Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast has work: Neural networks with Keras cookbook (Text) https://id.oclc.org/worldcat/entity/E39PD3FHQfwq66RyjK9gbvchXm https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2037521 Volltext |
| spellingShingle | Ayyadevara, V. Kishore Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots -- Dedication -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Building a Feedforward Neural Network -- Chapter 2: Building a Deep Feedforward Neural Network -- Chapter 3: Applications of Deep Feedforward Neural Networks -- Chapter 4: Building a Deep Convolutional Neural Network -- Chapter 5: Transfer Learning -- Chapter 6: Detecting and Localizing Objects in Images -- Chapter 7: Image Analysis Applications in Self-Driving Cars -- Chapter 8: Image Generation -- Chapter 9: Encoding Inputs -- Chapter 10: Text Analysis Using Word Vectors -- Chapter 11: Building a Recurrent Neural Network -- Chapter 12: Applications of a Many-to-One Architecture RNN -- Chapter 13: Sequence-to-Sequence Learning -- Chapter 14: End-to-End Learning -- Chapter 15: Audio Analysis -- Chapter 16: Reinforcement Learning -- Other Books You May Enjoy -- Index. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Réseaux neuronaux (Informatique) Apprentissage automatique. Programming & scripting languages: general. bicssc Artificial intelligence. bicssc Neural networks & fuzzy systems. bicssc COMPUTERS Programming Languages Python. bisacsh Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh90001937 http://id.loc.gov/authorities/subjects/sh85079324 https://id.nlm.nih.gov/mesh/D016571 https://id.nlm.nih.gov/mesh/D000069550 |
| title | Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. |
| title_auth | Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. |
| title_exact_search | Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. |
| title_full | Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. |
| title_fullStr | Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. |
| title_full_unstemmed | Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. |
| title_short | Neural networks with Keras cookbook : |
| title_sort | neural networks with keras cookbook over 70 recipes leveraging deep learning techniques across image text audio and game bots |
| title_sub | over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots. |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Réseaux neuronaux (Informatique) Apprentissage automatique. Programming & scripting languages: general. bicssc Artificial intelligence. bicssc Neural networks & fuzzy systems. bicssc COMPUTERS Programming Languages Python. bisacsh Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Neural networks (Computer science) Machine learning. Neural Networks, Computer Machine Learning Python (Langage de programmation) Réseaux neuronaux (Informatique) Apprentissage automatique. Programming & scripting languages: general. Artificial intelligence. Neural networks & fuzzy systems. COMPUTERS Programming Languages Python. Machine learning |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2037521 |
| work_keys_str_mv | AT ayyadevaravkishore neuralnetworkswithkerascookbookover70recipesleveragingdeeplearningtechniquesacrossimagetextaudioandgamebots |