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In den WarenkorbPaperback. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less 1.52.
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.52.
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.52.
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.52.
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.52.
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In den WarenkorbPaperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 1.52.
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.52.
Verlag: Manning Publications Co. LLC, 2017
ISBN 10: 1617294438 ISBN 13: 9781617294433
Sprache: Englisch
Anbieter: Better World Books: West, Reno, NV, USA
EUR 9,05
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In den WarenkorbZustand: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Verlag: Manning Publications Co. LLC, 2017
ISBN 10: 1617294438 ISBN 13: 9781617294433
Sprache: Englisch
Anbieter: Better World Books: West, Reno, NV, USA
EUR 9,05
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In den WarenkorbZustand: Good. Used book that is in clean, average condition without any missing pages.
Verlag: Manning Publications Co. LLC, 2017
ISBN 10: 1617294438 ISBN 13: 9781617294433
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
EUR 9,05
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In den WarenkorbZustand: Good. Used book that is in clean, average condition without any missing pages.
EUR 18,88
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In den Warenkorbpaperback. Zustand: Sehr gut. 384 Seiten; 9781617294433.2 Gewicht in Gramm: 1.
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In den WarenkorbZustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
EUR 32,31
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In den WarenkorbPaperback. Zustand: As New. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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In den WarenkorbPaperback. Zustand: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
EUR 32,31
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In den WarenkorbPaperback. Zustand: Very Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Anbieter: Magers and Quinn Booksellers, Minneapolis, MN, USA
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In den Warenkorbpaperback. Zustand: Very Good. May have light to moderate shelf wear and/or a remainder mark. Complete. Clean pages.
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In den WarenkorbZustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbZustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 30,45
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In den WarenkorbPaperback. Zustand: Brand New. 361 pages. 9.25x7.25x0.75 inches. In Stock.
Verlag: Manning Publications Co. LLC, 2021
ISBN 10: 1617296864 ISBN 13: 9781617296864
Sprache: Englisch
Anbieter: Better World Books, Mishawaka, IN, USA
EUR 43,84
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In den WarenkorbZustand: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.
EUR 54,40
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In den WarenkorbZustand: New. Über den AutorFrançois Chollet is a software engineer at Google and creator of Keras.KlappentextDeep Learning with Python introduces the field of deep learning using the Python.
EUR 55,40
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EUR 56,51
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EUR 21,32
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In den Warenkorbpaperback. Zustand: Good. Softcover shows moderate cover wear. Text is unmarked. Ships FAST!
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In den WarenkorbPaperback. Zustand: Good. Book contains highlighting from previous owner. Book contains markings and notes from previous owner. Spill stain to edge of pages. ; - We're committed to your satisfaction. We offer free returns and respond promptly to all inquiries. Your item will be carefully wrapped in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
EUR 47,75
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In den WarenkorbBuch. Zustand: New. Deep learning is applicable to a widening range of artificialintelligence problems, such as image classification, speech recognition,text classification, question answering, text-to-speech, and opticalcharacter recognition.Deep Lea.
EUR 58,27
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In den WarenkorbZustand: New.
EUR 64,38
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In den WarenkorbPaperback. Zustand: New. "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 technologyMachine 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 bookDeep 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 insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois 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.
EUR 65,21
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In den WarenkorbPaperback. Zustand: New. "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 technologyMachine 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 bookDeep 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 insideDeep learning from first principlesImage-classification, imagine segmentation, and object detectionDeep learning for natural language processingTimeseries forecastingNeural style transfer, text generation, and image generation about the readerReaders need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. about the authorFrançois 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.