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Paperback. Zustand: 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.…

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Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: 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.…

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Zustand: 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.

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Taschenbuch. Zustand: 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.…

Paperback. Zustand: 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.…

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Paperback. Zustand: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Zustand: 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. …

Taschenbuch. Zustand: 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.…

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Taschenbuch. Zustand: Neu. Keras 3 | The Comprehensive Guide to Deep Learning with the Keras API and Python | Mohammad Nauman | Taschenbuch | 629 S. | Englisch | 2026 | Rheinwerk Verlag GmbH | EAN 9781493227396 | Verantwortliche Person für die EU: Rheinwerk Verlag GmbH, Rheinwerkallee 4, 53227 Bonn, service[at]rheinwerk-verlag[dot]de | Anbieter: preigu. …

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