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Deep learning: a visual approach

"A practical, thorough introduction to deep learning, without the usage of advanced math or programming. Covers topics such as image classification, text generation, and the machine learning techniques that are the basis of modern AI"--

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Bibliographic Details
Main Author:	Glassner, Andrew S. 1960- (Author)
Format:	Electronic eBook
Language:	English
Published:	San Francisco, CA No Starch Press, Inc. [2021]
Subjects:	Deep Learning Maschinelles Lernen Machine learning Neural networks (Computer science) Artificial intelligence Handbooks and manuals
Online Access:	DE-739
Summary:	"A practical, thorough introduction to deep learning, without the usage of advanced math or programming. Covers topics such as image classification, text generation, and the machine learning techniques that are the basis of modern AI"--
Physical Description:	1 Online-Ressource (xxviii, 736 Seiten) Illustrationen, Diagramme
ISBN:	9781718500730

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Record in the Search Index

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ctrlnum	(OCoLC)1284787468 (DE-599)BVBBV047554018
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index_date	2024-07-03T18:25:09Z
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institution	BVB
isbn	9781718500730
language	English
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physical	1 Online-Ressource (xxviii, 736 Seiten) Illustrationen, Diagramme
psigel	ZDB-30-PQE ZDB-30-PQE UPA_Einzelkauf_NoStarchPress
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spelling	Glassner, Andrew S. 1960- Verfasser (DE-588)13836043X aut Deep learning a visual approach Andrew Glassner San Francisco, CA No Starch Press, Inc. [2021] 1 Online-Ressource (xxviii, 736 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Part I: Foundational ideas -- An overview of machine learning -- Essential statistics -- Measuring performance -- Bayes' rule -- Curves and surfaces -- Information theory -- Part II: Basic machine learning -- Classification -- Training and testing -- Overfitting and underfitting -- Data preparation -- Classifiers -- Ensembles -- Part III: Deep learning basics -- Neural networks -- Backpropagation -- Optimizers -- Part IV: Beyond the basics -- Convolutional neural networks -- Convnets in practice -- Autoencoders -- Recurrent neural networks -- Attention and transformers -- Reinforcement learning -- Generative adversarial networks -- Creative applications "A practical, thorough introduction to deep learning, without the usage of advanced math or programming. Covers topics such as image classification, text generation, and the machine learning techniques that are the basis of modern AI"-- Deep Learning (DE-588)1135597375 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Machine learning Neural networks (Computer science) Artificial intelligence Handbooks and manuals Deep Learning (DE-588)1135597375 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-7185-0072-3
spellingShingle	Glassner, Andrew S. 1960- Deep learning a visual approach Part I: Foundational ideas -- An overview of machine learning -- Essential statistics -- Measuring performance -- Bayes' rule -- Curves and surfaces -- Information theory -- Part II: Basic machine learning -- Classification -- Training and testing -- Overfitting and underfitting -- Data preparation -- Classifiers -- Ensembles -- Part III: Deep learning basics -- Neural networks -- Backpropagation -- Optimizers -- Part IV: Beyond the basics -- Convolutional neural networks -- Convnets in practice -- Autoencoders -- Recurrent neural networks -- Attention and transformers -- Reinforcement learning -- Generative adversarial networks -- Creative applications Deep Learning (DE-588)1135597375 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)1135597375 (DE-588)4193754-5
title	Deep learning a visual approach
title_auth	Deep learning a visual approach
title_exact_search	Deep learning a visual approach
title_exact_search_txtP	Deep learning a visual approach
title_full	Deep learning a visual approach Andrew Glassner
title_fullStr	Deep learning a visual approach Andrew Glassner
title_full_unstemmed	Deep learning a visual approach Andrew Glassner
title_short	Deep learning
title_sort	deep learning a visual approach
title_sub	a visual approach
topic	Deep Learning (DE-588)1135597375 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Deep Learning Maschinelles Lernen
work_keys_str_mv	AT glassnerandrews deeplearningavisualapproach

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