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Paperback. Zustand: new. Paperback. Neural networks are at the heart of AI--so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need!Highlights include: 1) Network creation2) Network training3) Supervised and unsupervised learning4) Reinforcement learning5) Algorithms6) Multi-layer networks7) Deep neural networks 8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlow 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 -Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need!Highlights include:1) Network creation2) Network training3) Supervised and unsupervised learning4) Reinforcement learning5) Algorithms6) Multi-layer networks7) Deep neural networks 8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlow 457 pp. Englisch.
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Taschenbuch. Zustand: Neu. Neuware -Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need!Highlights include:1) Network creation2) Network training3) Supervised and unsupervised learning4) Reinforcement learning5) Algorithms6) Multi-layer networks7) Deep neural networks 8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlow 457 pp. Englisch.
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Taschenbuch. Zustand: Neu. Neuware -Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need!Highlights include:1) Network creation2) Network training3) Supervised and unsupervised learning4) Reinforcement learning5) Algorithms6) Multi-layer networks7) Deep neural networks 8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlow.
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Verlag: Rheinwerk Computing; 3. Edition (7. Januar 2025), 2025
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In den WarenkorbPaperback. Zustand: new. Paperback. Neural networks are at the heart of AI--so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need!Highlights include: 1) Network creation2) Network training3) Supervised and unsupervised learning4) Reinforcement learning5) Algorithms6) Multi-layer networks7) Deep neural networks 8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlow Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Taschenbuch. Zustand: Neu. Neuware -Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need!Highlights include:1) Network creation2) Network training3) Supervised and unsupervised learning4) Reinforcement learning5) Algorithms6) Multi-layer networks7) Deep neural networks 8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlowRheinwerk Verlag GmbH, Rheinwerkallee 4, 53227 Bonn 457 pp. Englisch.
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Verlag: Rheinwerk Publishing Inc., US, 2025
ISBN 10: 1493226967 ISBN 13: 9781493226962
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Taschenbuch. Zustand: Neu. Neuware - Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need!Highlights include:1) Network creation2) Network training3) Supervised and unsupervised learning4) Reinforcement learning5) Algorithms6) Multi-layer networks7) Deep neural networks 8) Back propagation9) Transformers10) Python11) Mathematical concepts12) TensorFlow.
Taschenbuch. Zustand: Neu. Programming Neural Networks with Python | Joachim Steinwendner (u. a.) | Taschenbuch | 457 S. | Englisch | 2025 | Rheinwerk Verlag GmbH | EAN 9781493226962 | Verantwortliche Person für die EU: Rheinwerk, Rheinwerkallee 4, 53227 Bonn, service[at]rheinwerk-verlag[dot]de | Anbieter: preigu.