The Neural Network Revolution: Transforming Data into Knowledge - Couverture souple

KALAPPAN, SUNDARESAN ; R, NALLAKUMAR

9786208441296: The Neural Network Revolution: Transforming Data into Knowledge

Couverture souple

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

Editeur : LAP LAMBERT Academic Publishing, 2025

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This book provides a comprehensive exploration of deep learning, starting with the basics of neural networks, including the perceptron algorithm and key techniques like feed-forward and backpropagation, optimization, and regularization. It delves into deep learning foundations, covering important concepts such as gradient descent, backpropagation, and solutions for challenges like the vanishing gradient problem. The book then introduces convolutional neural networks (CNNs), explaining their architectures, convolution and pooling layers, and applications like transfer learning for image classification. Further, it covers advanced deep learning architectures such as LSTMs, GRUs, and autoencoders, including various types like sparse, denoising, and adversarial generative networks. Finally, the book discusses a wide range of applications in deep learning, from image processing and segmentation to object detection, video-to-text generation, and dialogue systems using LSTMs, providing both theoretical understanding and practical insights for implementing deep learning models.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2025
Langue: anglais
ISBN 10: 6208441293
ISBN 13: 9786208441296
Reliure: Broch�
Nombre de pages: 156
Coordonn�es du fabricant: non disponible
Personne responsable: KreGa Onlinehandel GmbH
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The Neural Network Revolution

Sundaresan Kalappan

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

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The Neural Network Revolution

Sundaresan Kalappan

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

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The Neural Network Revolution: Transforming Data into Knowledge

KALAPPAN, SUNDARESAN; R, NALLAKUMAR

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

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The Neural Network Revolution: Transforming Data into Knowledge

SUNDARESAN KALAPPAN

Edit� par Omniscriptum, LAP Lambert Academic Publishing, 2025

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive exploration of deep learning, starting with the basics of neural networks, including the perceptron algorithm and key techniques like feed-forward and backpropagation, optimization, and regularization. It delves into deep learning foundations, covering important concepts such as gradient descent, backpropagation, and solutions for challenges like the vanishing gradient problem. The book then introduces convolutional neural networks (CNNs), explaining their architectures, convolution and pooling layers, and applications like transfer learning for image classification. Further, it covers advanced deep learning architectures such as LSTMs, GRUs, and autoencoders, including various types like sparse, denoising, and adversarial generative networks. Finally, the book discusses a wide range of applications in deep learning, from image processing and segmentation to object detection, video-to-text generation, and dialogue systems using LSTMs, providing both theoretical understanding and practical insights for implementing deep learning models. 156 pp. Englisch. N� de r�f. du vendeur 9786208441296

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The Neural Network Revolution (Paperback)

Sundaresan Kalappan

Edit� par LAP Lambert Academic Publishing, 2025

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

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Paperback. Etat : new. Paperback. This book provides a comprehensive exploration of deep learning, starting with the basics of neural networks, including the perceptron algorithm and key techniques like feed-forward and backpropagation, optimization, and regularization. It delves into deep learning foundations, covering important concepts such as gradient descent, backpropagation, and solutions for challenges like the vanishing gradient problem. The book then introduces convolutional neural networks (CNNs), explaining their architectures, convolution and pooling layers, and applications like transfer learning for image classification. Further, it covers advanced deep learning architectures such as LSTMs, GRUs, and autoencoders, including various types like sparse, denoising, and adversarial generative networks. Finally, the book discusses a wide range of applications in deep learning, from image processing and segmentation to object detection, video-to-text generation, and dialogue systems using LSTMs, providing both theoretical understanding and practical insights for implementing deep learning models. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786208441296

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The Neural Network Revolution: Transforming Data into Knowledge

Sundaresan Kalappan (u. a.)

Edit� par LAP LAMBERT Academic Publishing, 2025

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

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Taschenbuch. Etat : Neu. The Neural Network Revolution: Transforming Data into Knowledge | Sundaresan Kalappan (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208441296 | Verantwortliche Person f�r die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N� de r�f. du vendeur 133336093

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The Neural Network Revolution: Transforming Data into Knowledge

Sundaresan Kalappan

Edit� par LAP LAMBERT Academic Publishing Apr 2025, 2025

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

Neuf Taschenbuch

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive exploration of deep learning, starting with the basics of neural networks, including the perceptron algorithm and key techniques like feed-forward and backpropagation, optimization, and regularization. It delves into deep learning foundations, covering important concepts such as gradient descent, backpropagation, and solutions for challenges like the vanishing gradient problem. The book then introduces convolutional neural networks (CNNs), explaining their architectures, convolution and pooling layers, and applications like transfer learning for image classification. Further, it covers advanced deep learning architectures such as LSTMs, GRUs, and autoencoders, including various types like sparse, denoising, and adversarial generative networks. Finally, the book discusses a wide range of applications in deep learning, from image processing and segmentation to object detection, video-to-text generation, and dialogue systems using LSTMs, providing both theoretical understanding and practical insights for implementing deep learning models.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 156 pp. Englisch. N� de r�f. du vendeur 9786208441296

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The Neural Network Revolution: Transforming Data into Knowledge : DE

SUNDARESAN KALAPPAN

Edit� par Omniscriptum, LAP Lambert Academic Publishing, 2025

ISBN 10 : 6208441293 ISBN 13 : 9786208441296

Neuf Taschenbuch

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive exploration of deep learning, starting with the basics of neural networks, including the perceptron algorithm and key techniques like feed-forward and backpropagation, optimization, and regularization. It delves into deep learning foundations, covering important concepts such as gradient descent, backpropagation, and solutions for challenges like the vanishing gradient problem. The book then introduces convolutional neural networks (CNNs), explaining their architectures, convolution and pooling layers, and applications like transfer learning for image classification. Further, it covers advanced deep learning architectures such as LSTMs, GRUs, and autoencoders, including various types like sparse, denoising, and adversarial generative networks. Finally, the book discusses a wide range of applications in deep learning, from image processing and segmentation to object detection, video-to-text generation, and dialogue systems using LSTMs, providing both theoretical understanding and practical insights for implementing deep learning models. N� de r�f. du vendeur 9786208441296

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