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Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Anbieter: Bay State Book Company, North Smithfield, RI, USA
Zustand: very_good.
Sprache: Englisch
Verlag: O'Reilly Media, Incorporated, 2018
ISBN 10: 149199584X ISBN 13: 9781491995846
Anbieter: Better World Books: West, Reno, NV, USA
Zustand: 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.
Anbieter: Toscana Books, AUSTIN, TX, USA
Paperback. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbPaperback. Zustand: Brand New. 240 pages. Polish language. 9.25x6.61x0.63 inches. In Stock.
Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New.
Paperback. Zustand: New. Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep-learning problems for classifying and generating text, images, and music. Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you're stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks. You'll learn how to: Create applications that will serve real users Use word embeddings to calculate text similarity Build a movie recommender system based on Wikipedia links Learn how AIs see the world by visualizing their internal state Build a model to suggest emojis for pieces of text Reuse pretrained networks to build an inverse image search service Compare how GANs, autoencoders and LSTMs generate icons Detect music styles and index song collections.
Anbieter: California Books, Miami, FL, USA
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Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition.
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In den WarenkorbPaperback. Zustand: New. New copy - Usually dispatched within 4 working days.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
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Zustand: New. 2018. Paperback. . . . . .
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Zustand: New. 2018. Paperback. . . . . . Books ship from the US and Ireland.
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In den WarenkorbPaperback. Zustand: Brand New. 220 pages. 9.25x7.00x0.75 inches. In Stock.
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In den WarenkorbPaperback. Zustand: New. Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep-learning problems for classifying and generating text, images, and music. Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you're stuck. Examples are written in Python with code available on GitHub as a set of Python notebooks. You'll learn how to: Create applications that will serve real users Use word embeddings to calculate text similarity Build a movie recommender system based on Wikipedia links Learn how AIs see the world by visualizing their internal state Build a model to suggest emojis for pieces of text Reuse pretrained networks to build an inverse image search service Compare how GANs, autoencoders and LSTMs generate icons Detect music styles and index song collections.
EUR 65,74
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In den WarenkorbZustand: New. With the recipes in this cookbook, you ll learn how to solve deep-learning problems for classifying and generating text, images, and music. Each chapter consists of several recipes needed to complete a single project, such as training a music recommending s.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such as Keras and Tensorflow, software engineers without a background in machine learning can quickly enter the field. With the recipes in this cookbook, you'll learn how to solve deep-learning problems for classifying and generating text, images, and music. Each chapter consists of several recipes needed to complete a single project, such as training a music recommending system. Author Douwe Osinga also provides a chapter with half a dozen techniques to help you if you're stuck. Examples are written in Python with code available on GitHub as a set of Python not Elektronisches Buch. You'll learn how to: Create applications that will serve real users; Use word embeddings to calculate text similarity; Build a movie recommender system based on Wikipedia links; Learn how AIs see the world by visualizing their internal state; Build a model to suggest emojis for pieces of text; Reuse pretrained networks to build an inverse image search service; Compare how GANs, autoencoders and LSTMs generate icons; Detect music styles and index song collections.
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 240 | Sprache: Polnisch | Produktart: Bücher | Keine Beschreibung verfügbar.
paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2019-05-01 Pages: 260 Publisher: Mechanical Industry Press Deep learning is not that terrible. Until recently. this machine learning method took years to learn. but with a framework like Keras and TensorFlow. software engineers without a machine learning background can quickly enter this.
paperback. Zustand: New. Paperback. Pub Date: 2020-10-01 Pages: 923 Language: Chinese Publisher: Machinery Industry Press Machine Learning Actual Combat (Based on Scikit-Learn\Keras and TensorFlow Original Book 2nd Edition): With a series of technological breakthroughs . Deep learning promotes the development of the entire machine learning field.?Now. even programmers who know almost nothing about this technology can use simple and effective tools to implement automatically learn from data programs.?The updated versi.
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EUR 72,36
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In den WarenkorbPaperback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.