Deep Learning : : Research and Applications / / ed. by Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy.
This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which h...
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Deep Learning : Research and Applications / ed. by Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy. Berlin ; Boston : De Gruyter, [2020] ©2020 1 online resource (IX, 152 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter Frontiers in Computational Intelligence , 2512-8868 ; 7 Frontmatter -- Preface -- Contents -- List of Contributors -- 1 Deep Learning – A State-of-the-Art Approach to Artificial Intelligence -- 2 Convolutional Neural Networks: A Bottom-Up Approach -- 3 Handwritten Digit Recognition Using Convolutional Neural Networks -- 4 Impact of Deep Neural Learning on Artificial Intelligence Research -- 5 Extraction of Common Feature of Dysgraphia Patients by Handwriting Analysis Using Variational Autoencoder -- 6 Deep Learning for Audio Signal Classification -- 7 Backpropagation Through Time Algorithm in Temperature Prediction -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) Artificial intelligence Industrial applications. Machine learning. Algorithmus. Deep Learning. Maschinelles Lernen. Neuronales Netz. COMPUTERS / Intelligence (AI) & Semantics. bisacsh Adate, Amit, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Arya, Dhruv, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bhattacharyya, Siddhartha, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bhattacharyya, Siddhartha, editor. edt http://id.loc.gov/vocabulary/relators/edt Bose, Ankita, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bose, Mahua, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Das, Swagatam, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Dey, Shatabhisa, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ella Hassanien, Aboul, editor. edt http://id.loc.gov/vocabulary/relators/edt Goswami, Soumyajit, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Jana, Ranjan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Maheshwari, Karan, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Mali, Kalyani, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Mukherjee, Anirban, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rajasekaran, Rajkumar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Saha, Rajib, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Saha, Satadal, editor. edt http://id.loc.gov/vocabulary/relators/edt Sarkar, Avik, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Shaha, Aditya, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Snasel, Vaclav, editor. edt http://id.loc.gov/vocabulary/relators/edt Tripathy, B. K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Tripathy, B. K., editor. edt http://id.loc.gov/vocabulary/relators/edt Tripathy, B.K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Ebook Package English 2020 9783110696288 Title is part of eBook package: De Gruyter DG Plus DeG Package 2020 Part 1 9783110696271 Title is part of eBook package: De Gruyter De Gruyter English eBooks 2020 - UC 9783110659061 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2020 English 9783110704716 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2020 9783110704518 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2020 English 9783110704815 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2020 9783110704617 ZDB-23-DEI EPUB 9783110670929 print 9783110670790 https://doi.org/10.1515/9783110670905 https://www.degruyter.com/isbn/9783110670905 Cover https://www.degruyter.com/document/cover/isbn/9783110670905/original |
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Adate, Amit, Adate, Amit, Arya, Dhruv, Arya, Dhruv, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bose, Ankita, Bose, Ankita, Bose, Mahua, Bose, Mahua, Das, Swagatam, Das, Swagatam, Dey, Shatabhisa, Dey, Shatabhisa, Ella Hassanien, Aboul, Ella Hassanien, Aboul, Goswami, Soumyajit, Goswami, Soumyajit, Jana, Ranjan, Jana, Ranjan, Maheshwari, Karan, Maheshwari, Karan, Mali, Kalyani, Mali, Kalyani, Mukherjee, Anirban, Mukherjee, Anirban, Rajasekaran, Rajkumar, Rajasekaran, Rajkumar, Saha, Rajib, Saha, Rajib, Saha, Satadal, Saha, Satadal, Sarkar, Avik, Sarkar, Avik, Shaha, Aditya, Shaha, Aditya, Snasel, Vaclav, Snasel, Vaclav, Tripathy, B. K., Tripathy, B. K., Tripathy, B. K., Tripathy, B. K., Tripathy, B.K., Tripathy, B.K., |
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title |
Deep Learning : Research and Applications / |
spellingShingle |
Deep Learning : Research and Applications / De Gruyter Frontiers in Computational Intelligence , Frontmatter -- Preface -- Contents -- List of Contributors -- 1 Deep Learning – A State-of-the-Art Approach to Artificial Intelligence -- 2 Convolutional Neural Networks: A Bottom-Up Approach -- 3 Handwritten Digit Recognition Using Convolutional Neural Networks -- 4 Impact of Deep Neural Learning on Artificial Intelligence Research -- 5 Extraction of Common Feature of Dysgraphia Patients by Handwriting Analysis Using Variational Autoencoder -- 6 Deep Learning for Audio Signal Classification -- 7 Backpropagation Through Time Algorithm in Temperature Prediction -- Index |
title_sub |
Research and Applications / |
title_full |
Deep Learning : Research and Applications / ed. by Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy. |
title_fullStr |
Deep Learning : Research and Applications / ed. by Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy. |
title_full_unstemmed |
Deep Learning : Research and Applications / ed. by Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy. |
title_auth |
Deep Learning : Research and Applications / |
title_alt |
Frontmatter -- Preface -- Contents -- List of Contributors -- 1 Deep Learning – A State-of-the-Art Approach to Artificial Intelligence -- 2 Convolutional Neural Networks: A Bottom-Up Approach -- 3 Handwritten Digit Recognition Using Convolutional Neural Networks -- 4 Impact of Deep Neural Learning on Artificial Intelligence Research -- 5 Extraction of Common Feature of Dysgraphia Patients by Handwriting Analysis Using Variational Autoencoder -- 6 Deep Learning for Audio Signal Classification -- 7 Backpropagation Through Time Algorithm in Temperature Prediction -- Index |
title_new |
Deep Learning : |
title_sort |
deep learning : research and applications / |
series |
De Gruyter Frontiers in Computational Intelligence , |
series2 |
De Gruyter Frontiers in Computational Intelligence , |
publisher |
De Gruyter, |
publishDate |
2020 |
physical |
1 online resource (IX, 152 p.) Issued also in print. |
contents |
Frontmatter -- Preface -- Contents -- List of Contributors -- 1 Deep Learning – A State-of-the-Art Approach to Artificial Intelligence -- 2 Convolutional Neural Networks: A Bottom-Up Approach -- 3 Handwritten Digit Recognition Using Convolutional Neural Networks -- 4 Impact of Deep Neural Learning on Artificial Intelligence Research -- 5 Extraction of Common Feature of Dysgraphia Patients by Handwriting Analysis Using Variational Autoencoder -- 6 Deep Learning for Audio Signal Classification -- 7 Backpropagation Through Time Algorithm in Temperature Prediction -- Index |
isbn |
9783110670905 9783110696288 9783110696271 9783110659061 9783110704716 9783110704518 9783110704815 9783110704617 9783110670929 9783110670790 |
issn |
2512-8868 ; |
callnumber-first |
Q - Science |
callnumber-subject |
Q - General Science |
callnumber-label |
Q325 |
callnumber-sort |
Q 3325.5 D425 42020 |
url |
https://doi.org/10.1515/9783110670905 https://www.degruyter.com/isbn/9783110670905 https://www.degruyter.com/document/cover/isbn/9783110670905/original |
illustrated |
Not Illustrated |
doi_str_mv |
10.1515/9783110670905 |
oclc_num |
1163877995 |
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Title is part of eBook package: De Gruyter DG Ebook Package English 2020 Title is part of eBook package: De Gruyter DG Plus DeG Package 2020 Part 1 Title is part of eBook package: De Gruyter De Gruyter English eBooks 2020 - UC Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2020 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2020 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2020 English Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2020 |
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Deep Learning : Research and Applications / |
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