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Deep Learning with Python
Tekijä: Francois Chollet
Kustantaja: Manning Publications (2022)
Saatavuus: Noin 14-17 arkipäivää
EUR   66,40
Deep Learning
Tekijä: Ian Goodfellow; Yoshua Bengio; Aaron Courville
Kustantaja: MIT Press Ltd (2016)
Saatavuus: Noin 14-17 arkipäivää
EUR   117,20
Practical Deep Learning
Tekijä: Ronald T. Kneusel
Kustantaja: Random House LLC US (2021)
Saatavuus: Noin 14-17 arkipäivää
EUR   52,00
Kalman Filtering and Neural Networks
Tekijä: Simon Haykin
Kustantaja: John Wiley & Sons Inc (2001)
Saatavuus: Noin 13-16 arkipäivää
EUR   153,60
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability
Tekijä: Danilo P. Mandic; Jonathon A. Chambers
Kustantaja: John Wiley & Sons Inc (2001)
Saatavuus: Noin 13-16 arkipäivää
EUR   189,60
Introduction To The Theory Of Neural Computation
Tekijä: John A. Hertz; Anders S. Krogh; Richard G. Palmer
Kustantaja: Taylor & Francis Inc (1991)
Saatavuus: 1-3 viikkoa
EUR   93,30
Fuzzy And Neural Approaches in Engineering
Tekijä: Lefteri H. Tsoukalas; Robert E. Uhrig
Kustantaja: John Wiley & Sons Inc (1997)
Saatavuus: Noin 13-16 arkipäivää
EUR   197,20
Neural Networks for Optimization and Signal Processing
Tekijä: Andrzej Cichocki; R. Unbehauen
Kustantaja: John Wiley & Sons Inc (1993)
Saatavuus: Noin 13-16 arkipäivää
EUR   262,90
Parallel Architectures for Artificial Neural Networks - Paradigms and Implementations
Tekijä: N. Sundararajan; P. Saratchandran
Kustantaja: IEEE Computer Society Press,U.S. (1998)
Saatavuus: Noin 13-16 arkipäivää
EUR   120,70
Nonlinear Dynamical Systems - Feedforward Neural Network Perspectives
Tekijä: Irwin W. Sandberg; James T. Lo; Craig L. Fancourt; José C. Principe; Shigeru Katagiri; Simon Haykin
Kustantaja: John Wiley & Sons Inc (2001)
Saatavuus: Noin 13-16 arkipäivää
EUR   171,30
An Introduction to Neural Networks
Tekijä: Kevin Gurney
Kustantaja: Taylor & Francis Ltd (1997)
Saatavuus: 1-3 viikkoa
EUR   90,60
Neural Networks and Their Applications
Tekijä: John G. Taylor
Kustantaja: John Wiley & Sons Inc (1996)
Saatavuus: Noin 13-16 arkipäivää
EUR   175,60
Mechanisms of Cortical Development
Tekijä: David Price; David Willshaw
Kustantaja: Oxford University Press (2000)
Saatavuus: 1-3 viikkoa
EUR   187,00
Advances in Neural Information Processing Systems 16 - Proceedings of the 2003 Conference
Tekijä: Sebastian Thrun; Lawrence K Saul; Bernhard Schölkopf
Kustantaja: MIT Press (2004)
Saatavuus: Ei tiedossa
EUR   24,40
Neural Network Control Of Robot Manipulators And Non-Linear Systems
Tekijä: F W Lewis; S. Jagannathan; A Yesildirak
Kustantaja: Taylor & Francis Ltd (1998)
Saatavuus: 1-3 viikkoa
EUR   263,70
Cognition, Computation, and Consciousness
Tekijä: Masao Ito; Yasushi Miyashita; Edmund T. Rolls
Kustantaja: Oxford University Press (1997)
Saatavuus: 1-3 viikkoa
EUR   156,40
Fuzzy Neural Network Theory And Application
Tekijä: Puyin Liu; Hong-xing Li
Kustantaja: World Scientific Publishing Co Pte Ltd (2004)
Saatavuus: Ei tiedossa
EUR   170,20
Cellular Neural Networks and Visual Computing: Foundations and Applications
Tekijä: Leon O. Chua; Tamas Roska
Kustantaja: Cambridge University Press (2005)
Saatavuus: 1-3 viikkoa
EUR   95,70
Self-Organising Maps - Applications in Geographic Information Science
Tekijä: Pragya Agarwal; Andre Skupin
Kustantaja: John Wiley & Sons Inc (2008)
Saatavuus: Noin 13-16 arkipäivää
EUR   150,90
An artificial neural network method for solving boundary value problems - With arbitrary irregular boundary conditions
Tekijä: Kevin McFall
Kustantaja: VDM Verlag Dr. Mueller E.K. (2008)
Saatavuus: Noin 7-10 arkipäivää
EUR   84,60
    
Deep Learning with Python
66,40 €
Manning Publications
Sivumäärä: 400 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2022, 07.04.2022 (lisätietoa)
Kieli: Englanti
"The first edition of Deep Learning with Python is one of the best books on the subject. The second edition made it even better." - Todd Cook

The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using Python and the powerful Keras library. Written by Google AI researcher François Chollet, the creator of Keras, this revised edition has been updated with new chapters, new tools, and cutting-edge techniques drawn from the latest research. You'll build your understanding through practical examples and intuitive explanations that make the complexities of deep learning accessible and understandable.

about the technology
Machine learning has made remarkable progress in recent years. We've gone from near-unusable speech recognition, to near-human accuracy. From machines that couldn't beat a serious Go player, to defeating a world champion. Medical imaging diagnostics, weather forecasting, and natural language question answering have suddenly become tractable problems. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications across every industry sector

about the book
Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly from the creator of Keras, François Chollet, building your understanding through intuitive explanations and practical examples. Updated from the original bestseller with over 50% new content, this second edition includes new chapters, cutting-edge innovations, and coverage of the very latest deep learning tools. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

what's inside
Deep learning from first principles
Image-classification, imagine segmentation, and object detection
Deep learning for natural language processing
Timeseries forecasting
Neural style transfer, text generation, and image generation

about the reader
Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required.

about the author
François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does AI research, with a focus on abstraction and reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others.

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Tampere
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ISBN:
9781617296864
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