Machine learning and deep learning in real-time applications:
"This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine learning and deep learning in real world"--
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine learning and deep learning in real world"-- |
| Beschreibung: | 23 PDFs (344 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799830979 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Machine learning and deep learning in real-time applications |c Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2020] | |
| 300 | |a 23 PDFs (344 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Obtaining deep learning models for automatic classification of leukocytes -- Chapter 2. Deep leaning using keras -- Chapter 3. Deep learning with pytorch -- Chapter 4. Deep learning with tensorflow -- Chapter 5. Employee's attrition prediction using machine learning approaches -- Chapter 6. A novel deep learning method for identification of cancer genes from gene expression dataset -- Chapter 7. Machine learning in authentication of digital audio recordings -- Chapter 8. Deep convolutional neural network-based analysis for breast cancer histology images -- Chapter 9. Deep learning in engineering education: performance prediction using cuckoo-based hybrid classification -- Chapter 10. Malaria detection system using convolutional neural network algorithm -- Chapter 11. An introduction to deep convolutional neural networks with keras -- Chapter 12. Emotion recognition with facial expression using machine learning for social network and healthcare -- Chapter 13. Text separation from document images: a deep learning approach. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine learning and deep learning in real world"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 06/27/2020). | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Real-time data processing. | |
| 650 | 7 | |a Machine learning. |2 fast | |
| 650 | 7 | |a Real-time data processing. |2 fast | |
| 700 | 1 | |a Hiran, Kamal Kant |d 1982- |e editor. | |
| 700 | 1 | |a Mahrishi, Mehul |d 1986- |e editor. | |
| 700 | 1 | |a Meena, Gaurav |d 1987- |e editor. | |
| 700 | 1 | |a Sharma, Paawan |d 1983- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019048559 | |
| 776 | 0 | 8 | |i Print version: |z 1799830950 |z 9781799830955 |w (DLC) 2019048559 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3095-5 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00240152 |
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| _version_ | 1816797083488747520 |
| adam_text | |
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| author2 | Hiran, Kamal Kant 1982- Mahrishi, Mehul 1986- Meena, Gaurav 1987- Sharma, Paawan 1983- |
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| contents | Chapter 1. Obtaining deep learning models for automatic classification of leukocytes -- Chapter 2. Deep leaning using keras -- Chapter 3. Deep learning with pytorch -- Chapter 4. Deep learning with tensorflow -- Chapter 5. Employee's attrition prediction using machine learning approaches -- Chapter 6. A novel deep learning method for identification of cancer genes from gene expression dataset -- Chapter 7. Machine learning in authentication of digital audio recordings -- Chapter 8. Deep convolutional neural network-based analysis for breast cancer histology images -- Chapter 9. Deep learning in engineering education: performance prediction using cuckoo-based hybrid classification -- Chapter 10. Malaria detection system using convolutional neural network algorithm -- Chapter 11. An introduction to deep convolutional neural networks with keras -- Chapter 12. Emotion recognition with facial expression using machine learning for social network and healthcare -- Chapter 13. Text separation from document images: a deep learning approach. |
| ctrlnum | (CaBNVSL)slc00000606 (OCoLC)1126391233 |
| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
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| discipline | Informatik |
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| id | ZDB-98-IGB-00240152 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:56Z |
| institution | BVB |
| isbn | 9781799830979 |
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| spelling | Machine learning and deep learning in real-time applications Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020] 23 PDFs (344 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Obtaining deep learning models for automatic classification of leukocytes -- Chapter 2. Deep leaning using keras -- Chapter 3. Deep learning with pytorch -- Chapter 4. Deep learning with tensorflow -- Chapter 5. Employee's attrition prediction using machine learning approaches -- Chapter 6. A novel deep learning method for identification of cancer genes from gene expression dataset -- Chapter 7. Machine learning in authentication of digital audio recordings -- Chapter 8. Deep convolutional neural network-based analysis for breast cancer histology images -- Chapter 9. Deep learning in engineering education: performance prediction using cuckoo-based hybrid classification -- Chapter 10. Malaria detection system using convolutional neural network algorithm -- Chapter 11. An introduction to deep convolutional neural networks with keras -- Chapter 12. Emotion recognition with facial expression using machine learning for social network and healthcare -- Chapter 13. Text separation from document images: a deep learning approach. Restricted to subscribers or individual electronic text purchasers. "This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine learning and deep learning in real world"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 06/27/2020). Machine learning. Real-time data processing. Machine learning. fast Real-time data processing. fast Hiran, Kamal Kant 1982- editor. Mahrishi, Mehul 1986- editor. Meena, Gaurav 1987- editor. Sharma, Paawan 1983- editor. IGI Global, publisher. (Original) (DLC)2019048559 Print version: 1799830950 9781799830955 (DLC) 2019048559 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3095-5 Volltext |
| spellingShingle | Machine learning and deep learning in real-time applications Chapter 1. Obtaining deep learning models for automatic classification of leukocytes -- Chapter 2. Deep leaning using keras -- Chapter 3. Deep learning with pytorch -- Chapter 4. Deep learning with tensorflow -- Chapter 5. Employee's attrition prediction using machine learning approaches -- Chapter 6. A novel deep learning method for identification of cancer genes from gene expression dataset -- Chapter 7. Machine learning in authentication of digital audio recordings -- Chapter 8. Deep convolutional neural network-based analysis for breast cancer histology images -- Chapter 9. Deep learning in engineering education: performance prediction using cuckoo-based hybrid classification -- Chapter 10. Malaria detection system using convolutional neural network algorithm -- Chapter 11. An introduction to deep convolutional neural networks with keras -- Chapter 12. Emotion recognition with facial expression using machine learning for social network and healthcare -- Chapter 13. Text separation from document images: a deep learning approach. Machine learning. Real-time data processing. Machine learning. fast Real-time data processing. fast |
| title | Machine learning and deep learning in real-time applications |
| title_auth | Machine learning and deep learning in real-time applications |
| title_exact_search | Machine learning and deep learning in real-time applications |
| title_full | Machine learning and deep learning in real-time applications Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma, editors. |
| title_fullStr | Machine learning and deep learning in real-time applications Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma, editors. |
| title_full_unstemmed | Machine learning and deep learning in real-time applications Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma, editors. |
| title_short | Machine learning and deep learning in real-time applications |
| title_sort | machine learning and deep learning in real time applications |
| topic | Machine learning. Real-time data processing. Machine learning. fast Real-time data processing. fast |
| topic_facet | Machine learning. Real-time data processing. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3095-5 |
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