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Recurrent Neural Networks Simple by Salem Fathi (28 results)
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Paperback or Softback. Condition: New. Recurrent Neural Networks: From Simple to Gated Architectures 0.47. Book.
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Recurrent Neural Networks: From Simple to Gated Architectures
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Recurrent Neural Networks: From Simple to Gated Architectures
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Recurrent Neural Networks : From Simple to Gated Architectures
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Recurrent Neural Networks : From Simple to Gated Architectures
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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International Edition£ 74.19
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Add to basketPapeback. Condition: Brand New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-11 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India,& United states & United Kingdom. Depending on your location and availability.
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£ 63.48
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Add to basketPaperback. Condition: Brand New. 141 pages. 9.25x6.10x0.75 inches. In Stock.
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Recurrent Neural Networks : From Simple to Gated Architectures
Published by Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 3030899314 ISBN 13: 9783030899318
Language: English
£ 47.64
Convert currency£ 52.88 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. 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.
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Recurrent Neural Networks : From Simple to Gated Architectures
Published by Springer International Publishing, 2022
ISBN 10: 3030899284 ISBN 13: 9783030899288
Language: English
£ 52.41
Convert currency£ 53.57 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. 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.
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Recurrent Neural Networks : From Simple to Gated Architectures
Published by Springer International Publishing, 2022
ISBN 10: 3030899284 ISBN 13: 9783030899288
Language: English
£ 24.52
Convert currency£ 90.79 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketCondition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
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£ 49.99
Convert currency£ 25 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketHardcover. Condition: Brand New. 141 pages. 9.25x6.10x0.59 inches. In Stock. This item is printed on demand.
