Items related to Recurrent Neural Networks: From Simple to Gated Architecture...

Recurrent Neural Networks: From Simple to Gated Architectures - Hardcover

 
9783030899288: Recurrent Neural Networks: From Simple to Gated Architectures
  • PublisherSpringer
  • Publication date2022
  • ISBN 10 3030899284
  • ISBN 13 9783030899288
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages141

Other Popular Editions of the Same Title

9783030899318: Recurrent Neural Networks: From Simple to Gated Architectures

Featured Edition

ISBN 10:  3030899314 ISBN 13:  9783030899318
Publisher: Springer, 2023
Softcover

Search results for Recurrent Neural Networks: From Simple to Gated Architecture...

Stock Image

Salem, Fathi M.
Published by Springer, 2022
ISBN 10: 3030899284 ISBN 13: 9783030899288
New Hardcover

Seller: Lucky's Textbooks, Dallas, TX, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # ABLIING23Mar3113020032732

Contact seller

Buy New

US$ 64.71
Convert currency
Shipping: US$ 3.99
Within U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Stock Image

Fathi M. Salem
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030899284 ISBN 13: 9783030899288
New Hardcover

Seller: PBShop.store UK, Fairford, GLOS, United Kingdom

Seller rating 4 out of 5 stars 4-star rating, Learn more about seller ratings

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # S0-9783030899288

Contact seller

Buy New

US$ 69.66
Convert currency
Shipping: US$ 5.54
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: 10 available

Add to basket

Stock Image

Salem, Fathi M.
Published by Springer, 2022
ISBN 10: 3030899284 ISBN 13: 9783030899288
New Hardcover

Seller: California Books, Miami, FL, U.S.A.

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. Seller Inventory # I-9783030899288

Contact seller

Buy New

US$ 80.00
Convert currency
Shipping: FREE
Within U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Stock Image

Salem, Fathi M. (Author)
Published by Springer, 2022
ISBN 10: 3030899284 ISBN 13: 9783030899288
New Hardcover
Print on Demand

Seller: Revaluation Books, Exeter, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Hardcover. Condition: Brand New. 141 pages. 9.25x6.10x0.59 inches. In Stock. This item is printed on demand. Seller Inventory # __3030899284

Contact seller

Buy New

US$ 68.62
Convert currency
Shipping: US$ 13.33
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket

Stock Image

Salem, Fathi M.
Published by Springer, 2022
ISBN 10: 3030899284 ISBN 13: 9783030899288
New Hardcover

Seller: Ria Christie Collections, Uxbridge, United Kingdom

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Condition: New. In. Seller Inventory # ria9783030899288_new

Contact seller

Buy New

US$ 69.67
Convert currency
Shipping: US$ 15.97
From United Kingdom to U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket

Seller Image

Fathi M. Salem
ISBN 10: 3030899284 ISBN 13: 9783030899288
New Hardcover
Print on Demand

Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch. It provides a treatment of the general recurrent neural networks with principled methods for training that render the (generalized) backpropagation through time (BPTT). This author focuses on the basics and nuances of recurrent neural networks, providing technical and principled treatment of the subject, with a view toward using coding and deep learning computational frameworks, e.g., Python and Tensorflow-Keras. Recurrent neural networks are treated holistically from simple to gated architectures, adopting the technical machinery of adaptive non-convex optimization with dynamic constraints to leverage its systematic power in organizing the learning and training processes. This permits the flow of concepts and techniques that provide grounded support for design and training choices. The author's approach enables strategic co-trainingof output layers, using supervised learning, and hidden layers, using unsupervised learning, to generate more efficient internal representations and accuracy performance. As a result, readers will be enabled to create designs tailoring proficient procedures for recurrent neural networks in their targeted applications. 144 pp. Englisch. Seller Inventory # 9783030899288

Contact seller

Buy New

US$ 68.93
Convert currency
Shipping: US$ 26.16
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 2 available

Add to basket

Seller Image

Fathi M. Salem
ISBN 10: 3030899284 ISBN 13: 9783030899288
New Hardcover

Seller: AHA-BUCH GmbH, Einbeck, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch. It provides a treatment of the general recurrent neural networks with principled methods for training that render the (generalized) backpropagation through time (BPTT). This author focuses on the basics and nuances of recurrent neural networks, providing technical and principled treatment of the subject, with a view toward using coding and deep learning computational frameworks, e.g., Python and Tensorflow-Keras. Recurrent neural networks are treated holistically from simple to gated architectures, adopting the technical machinery of adaptive non-convex optimization with dynamic constraints to leverage its systematic power in organizing the learning and training processes. This permits the flow of concepts and techniques that provide grounded support for design and training choices. The author's approach enables strategic co-trainingof output layers, using supervised learning, and hidden layers, using unsupervised learning, to generate more efficient internal representations and accuracy performance. As a result, readers will be enabled to create designs tailoring proficient procedures for recurrent neural networks in their targeted applications. Seller Inventory # 9783030899288

Contact seller

Buy New

US$ 68.93
Convert currency
Shipping: US$ 34.05
From Germany to U.S.A.
Destination, rates & speeds

Quantity: 1 available

Add to basket

Seller Image

Salem, Fathi M.
ISBN 10: 3030899284 ISBN 13: 9783030899288
New Hardcover
Print on Demand

Seller: moluna, Greven, Germany

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch.This textbook provides a compact but comprehensive treatment that provides analytical and design steps to. Seller Inventory # 510444981

Contact seller

Buy New

US$ 60.34
Convert currency
Shipping: US$ 55.71
From Germany to U.S.A.
Destination, rates & speeds

Quantity: Over 20 available

Add to basket