Mohammad Nauman (54 results)

- Softcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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- Softcover
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- Softcover
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Paperback. Condition: new. Paperback. Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and then train them using classification, gradient descent, and regularization. Design large-…scale, multilayer models and improve their decision making with reinforcement learning. With tips for creating generative AI models, this is your cutting-edge resource for working with deep learning!Highlights include: 1) Neural networks2) Gradient descent3) Classification4) Regularization5) Convolutional neural networks (CNNs)6) Functional API7) Transformer architecture8) Reinforcement learning9) Autoencoders10) Stable Diffusion Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Softcover
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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- Softcover
Seller: Russell Books, Victoria, CanadaRussell Books
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paperback. Condition: New. Special order direct from the distributor.

- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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- Softcover
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- Softcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. Neuware -Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and then train them using classification, gradient descent, and regularization. Design large-…scale, multilayer models and improve their decision making with reinforcement learning. With tips for creating generative AI models, this is your cutting-edge resource for working with deep learning!Highlights include:1) Neural networks2) Gradient descent3) Classification4) Regularization5) Convolutional neural networks (CNNs)6) Functional API7) Transformer architecture8) Reinforcement learning9) Autoencoders10) Stable Diffusion 629 pp. Englisch.

- Softcover
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermanyRheinberg-Buch Andreas Meier eK
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Taschenbuch. Condition: Neu. Neuware -Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and then train them using classification, gradient descent, and regularization. Design large-…scale, multilayer models and improve their decision making with reinforcement learning. With tips for creating generative AI models, this is your cutting-edge resource for working with deep learning!Highlights include:1) Neural networks2) Gradient descent3) Classification4) Regularization5) Convolutional neural networks (CNNs)6) Functional API7) Transformer architecture8) Reinforcement learning9) Autoencoders10) Stable Diffusion 629 pp. Englisch.

- Softcover
Seller: Wegmann1855, Zwiesel, GermanyWegmann1855
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Taschenbuch. Condition: Neu. Neuware -Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and then train them using classification, gradient descent, and regularization. Design large-…scale, multilayer models and improve their decision making with reinforcement learning. With tips for creating generative AI models, this is your cutting-edge resource for working with deep learning!Highlights include:1) Neural networks2) Gradient descent3) Classification4) Regularization5) Convolutional neural networks (CNNs)6) Functional API7) Transformer architecture8) Reinforcement learning9) Autoencoders10) Stable Diffusion.

- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. new edition. 629 pages. 10.00x7.00x10.00 inches. In Stock.

- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Softcover
Seller: Books Puddle, New York, U.S.A.Books Puddle
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- Softcover
Seller: Kennys Bookstore, Olney, U.S.A.Kennys Bookstore
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Condition: New. 2025. New. paperback. . . . . . Books ship from the US and Ireland.

- Softcover
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Paperback. Condition: new. Paperback. Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and then train them using classification, gradient descent, and regularization. Design large-…scale, multilayer models and improve their decision making with reinforcement learning. With tips for creating generative AI models, this is your cutting-edge resource for working with deep learning!Highlights include: 1) Neural networks2) Gradient descent3) Classification4) Regularization5) Convolutional neural networks (CNNs)6) Functional API7) Transformer architecture8) Reinforcement learning9) Autoencoders10) Stable Diffusion Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

- Softcover
Seller: Speedyhen, Hertfordshire, United KingdomSpeedyhen
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- Softcover
Seller: moluna, Greven, Germanymoluna
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Kartoniert / Broschiert. Condition: New. The massive growth in size of the Internet has resulted inincreased difficulty in organizing and searching through theinformation present on it. Several strategies have been employed totackle this problem. With the coming of Web2.0, user-created dataand sha.

- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Common Sense and Folksonomy | Engineering a Model for an Intelligent Search System | Mohammad Nauman | Taschenbuch | Kartoniert / Broschiert | Englisch | 2008 | VDM Verlag Dr. Müller | EAN 9783639040876 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken…, info[at]akademikerverlag[dot]de | Anbieter: preigu.

- Softcover
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New. 2025. New. paperback. . . . . .

- Softcover
Seller: buchversandmimpf2000, Emtmannsberg, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. Neuware -Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and then train them using classification, gradient descent, and regularization. Design large-…scale, multilayer models and improve their decision making with reinforcement learning. With tips for creating generative AI models, this is your cutting-edge resource for working with deep learning!Highlights include:1) Neural networks2) Gradient descent3) Classification4) Regularization5) Convolutional neural networks (CNNs)6) Functional API7) Transformer architecture8) Reinforcement learning9) Autoencoders10) Stable DiffusionRheinwerk Verlag GmbH, Rheinwerkallee 4, 53227 Bonn 629 pp. Englisch.

- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
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- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Neuware - Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and then train them using classification, gradient descent, and regularization. Design large…-scale, multilayer models and improve their decision making with reinforcement learning. With tips for creating generative AI models, this is your cutting-edge resource for working with deep learning!Highlights include:1)Neural networks2)Gradient descent3)Classification4)Regularization5)Convolutional neural networks (CNNs)6)Functional API7)Transformer architecture8)Reinforcement learning9)Autoencoders10)Stable Diffusion.

- Softcover
Seller: Rarewaves USA United, OSWEGO, U.S.A.Rarewaves USA United
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Paperback. Condition: New.