9781718503922 - deep learning crash course von volpe, giovanni; midtvedt, benjamin; pineda, jesús; klein moberg, henrik; bachimanchi, harshith; pereira, joana b.; manzo, carlo (16 Ergebnisse)
Deep Learning Crash Course
Volpe, Giovanni; Midtvedt, Benjamin; Pineda, Jesús; Klein Moberg, Henrik; Bachimanchi, Harshith; PEREIRA, JOANA B.; MANZO, CARLO
- Softcover
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Deep Learning Crash Course
Volpe, Giovanni; Midtvedt, Benjamin; Pineda, Jesús; Klein Moberg, Henrik; Bachimanchi, Harshith; PEREIRA, JOANA B.; MANZO, CARLO
- Softcover
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- Softcover
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- Softcover
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Deep Learning Crash Course
Volpe, Giovanni; Midtvedt, Benjamin; Pineda, Jesús; Klein Moberg, Henrik; Bachimanchi, Harshith; PEREIRA, JOANA B.; MANZO, CARLO
- Softcover
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Deep Learning Crash Course
Volpe, Giovanni; Midtvedt, Benjamin; Pineda, Jesús; Klein Moberg, Henrik; Bachimanchi, Harshith; PEREIRA, JOANA B.; MANZO, CARLO
- Softcover
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Deep Learning Crash Course
Volpe, Giovanni/ Midtvedt, Benjamin/ Pineda, Jesús/ Moberg, Henrik Klein/ Bachimanchi, Harshith
- Softcover
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Paperback. Zustand: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
- Softcover
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Deep Learning Crash Course
Volpe, Giovanni/ Midtvedt, Benjamin/ Pineda, Jesús/ Moberg, Henrik Klein/ Bachimanchi, Harshith
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
Deep Learning Crash Course
Volpe, Giovanni/ Midtvedt, Benjamin/ Pineda, Jesús/ Moberg, Henrik Klein/ Bachimanchi, Harshith
- Softcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Paperback. Zustand: Brand New. 472 pages. 9.25x7.00x9.25 inches. In Stock.
- Softcover
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Zustand: New. Giovanni Volpe, head of the Soft Matter Lab at the University of Gothenburg and recipient of the Göran Gustafsson Prize in Physics, has published extensively on deep learning and physics and developed key software packages including DeepTrack, D.
- Softcover
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- Softcover
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Taschenbuch. Zustand: Neu. Deep Learning Crash Course | Giovanni Volpe (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2026 | Random House LLC US | EAN 9781718503922 | Verantwortliche Person für die EU: Springer Fachmedien Wiesbaden GmbH, Postfach:15 46, 65189 Wiesbaden, info[at]bod[dot]de | Anbieter: preigu.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware -Build AI Models from Scratch (No PhD Required)Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today's most powerful AI models from scratch. No experience with deep learning required!Designed for programmers who may be new to deep learning, this boo…k offers practical, hands-on experience, not just an abstract understanding of theory.You'll start from the basics, and using PyTorch with real datasets, you'll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub.You'll build and train models to: - Classify and analyze images, sequences, and time series- Generate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion models- Process natural language with recurrent neural networks and transformers- Model molecules and physical systems with graph neural networks- Improve continuously through reinforcement and active learning- Predict chaotic systems with reservoir computingWhether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them.eucomply OÜ, Pärnu mnt 139b-14, 11317 Tallinn 680 pp. Englisch.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware - Build AI Models from Scratch (No PhD Required)Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today's most powerful AI models from scratch. No experience with deep learning required!Designed for programmers who may be new to deep learning, this bo…ok offers practical, hands-on experience, not just an abstract understanding of theory.You'll start from the basics, and using PyTorch with real datasets, you'll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub.You'll build and train models to: - Classify and analyze images, sequences, and time series- Generate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion models- Process natural language with recurrent neural networks and transformers- Model molecules and physical systems with graph neural networks- Improve continuously through reinforcement and active learning- Predict chaotic systems with reservoir computingWhether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them.
- Softcover
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Taschenbuch. Zustand: Neu. Neuware -Build AI Models from Scratch (No PhD Required)Deep Learning Crash Course is a fast-paced, thorough introduction that will have you building today's most powerful AI models from scratch. No experience with deep learning required!Designed for programmers who may be new to deep learning, this boo…k offers practical, hands-on experience, not just an abstract understanding of theory.You'll start from the basics, and using PyTorch with real datasets, you'll quickly progress from your first neural network to advanced architectures like convolutional neural networks (CNNs), transformers, diffusion models, and graph neural networks (GNNs). Each project can be run on your own hardware or in the cloud, with annotated code available on GitHub.You'll build and train models to: - Classify and analyze images, sequences, and time series- Generate and transform data with autoencoders, GANs (generative adversarial networks), and diffusion models- Process natural language with recurrent neural networks and transformers- Model molecules and physical systems with graph neural networks- Improve continuously through reinforcement and active learning- Predict chaotic systems with reservoir computingWhether you're an engineer, scientist, or professional developer, you'll gain fluency in deep learning and the confidence to apply it to ambitious, real-world problems. With Deep Learning Crash Course, you'll move from using AI tools to creating them. 680 pp. Englisch.
