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010 _a2020938478
020 _a9783110670905
024 7 _a10.1515/9783110670905
_2doi
035 _a(DE-B1597)534630
035 _a(OCoLC)1163877995
040 _aDE-B1597
_beng
_cDE-B1597
_erda
041 0 _aeng
044 _agw
_cDE
050 0 0 _aQ325.5
_b.D425 2020
072 7 _aCOM004000
_2bisacsh
245 0 0 _aDeep Learning :
_bResearch and Applications /
_ced. by Siddhartha Bhattacharyya, Vaclav Snasel, Aboul Ella Hassanien, Satadal Saha, B. K. Tripathy.
264 1 _aBerlin ;
_aBoston :
_bDe Gruyter,
_c[2020]
264 4 _c©2020
300 _a1 online resource (IX, 152 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aDe Gruyter Frontiers in Computational Intelligence ,
_x2512-8868 ;
_v7
505 0 0 _tFrontmatter --
_tPreface --
_tContents --
_tList of Contributors --
_t1 Deep Learning - A State-of-the-Art Approach to Artificial Intelligence --
_t2 Convolutional Neural Networks: A Bottom-Up Approach --
_t3 Handwritten Digit Recognition Using Convolutional Neural Networks --
_t4 Impact of Deep Neural Learning on Artificial Intelligence Research --
_t5 Extraction of Common Feature of Dysgraphia Patients by Handwriting Analysis Using Variational Autoencoder --
_t6 Deep Learning for Audio Signal Classification --
_t7 Backpropagation Through Time Algorithm in Temperature Prediction --
_tIndex
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aThis 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.
530 _aIssued also in print.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)
650 0 _aArtificial intelligence
_xIndustrial applications.
_95729
650 0 _aMachine learning.
_91831
650 4 _aAlgorithmus.
_963838
650 4 _aDeep Learning.
_970706
650 4 _aMaschinelles Lernen.
_975264
650 4 _aNeuronales Netz.
_976322
650 7 _aCOMPUTERS / Intelligence (AI) & Semantics.
_2bisacsh
_976323
700 1 _aAdate, Amit,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976324
700 1 _aArya, Dhruv,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976325
700 1 _aBhattacharyya, Siddhartha,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976326
700 1 _aBhattacharyya, Siddhartha,
_eeditor.
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_976326
700 1 _aBose, Ankita,
_econtributor.
_4ctb
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_976327
700 1 _aBose, Mahua,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976328
700 1 _aDas, Swagatam,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976329
700 1 _aDey, Shatabhisa,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976330
700 1 _aElla Hassanien, Aboul,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_976331
700 1 _aGoswami, Soumyajit,
_econtributor.
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_976332
700 1 _aJana, Ranjan,
_econtributor.
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_976333
700 1 _aMaheshwari, Karan,
_econtributor.
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_976334
700 1 _aMali, Kalyani,
_econtributor.
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_976335
700 1 _aMukherjee, Anirban,
_econtributor.
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_976336
700 1 _aRajasekaran, Rajkumar,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976337
700 1 _aSaha, Rajib,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976338
700 1 _aSaha, Satadal,
_eeditor.
_4edt
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_976339
700 1 _aSarkar, Avik,
_econtributor.
_4ctb
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_976340
700 1 _aShaha, Aditya,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976341
700 1 _aSnasel, Vaclav,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_976342
700 1 _aTripathy, B. K.,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976343
700 1 _aTripathy, B. K.,
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_976343
700 1 _aTripathy, B.K.,
_econtributor.
_4ctb
_4https://id.loc.gov/vocabulary/relators/ctb
_976344
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