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Paperback. Condition: 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.
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Language: English
Published by O'Reilly Media, Inc, USA, 2018
ISBN 10: 149199584X ISBN 13: 9781491995846
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Language: English
Published by O?Reilly Media, Inc, USA, 2018
ISBN 10: 149199584X ISBN 13: 9781491995846
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Language: English
Published by O Reilly Media, Inc, USA, 2018
ISBN 10: 149199584X ISBN 13: 9781491995846
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Published by Oreilly & Associates Inc, 2018
ISBN 10: 149199584X ISBN 13: 9781491995846
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Add to basketPaperback. Condition: Brand New. 220 pages. 9.25x7.00x0.75 inches. In Stock.
Paperback. Condition: 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.
Condition: 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.
Language: English
Published by O'reilly Media Jul 2018, 2018
ISBN 10: 149199584X ISBN 13: 9781491995846
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Condition: Hervorragend. Zustand: Hervorragend | Seiten: 240 | Sprache: Polnisch | Produktart: Bücher | Keine Beschreibung verfügbar.
paperback. Condition: 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. Condition: 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.
Language: English
Published by Oreilly & Associates Inc, 2018
ISBN 10: 149199584X ISBN 13: 9781491995846
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Add to basketPaperback. Condition: Brand New. 220 pages. 9.25x7.00x0.75 inches. In Stock. This item is printed on demand.
Language: English
Published by O'Reilly Media, Inc, USA, 2018
ISBN 10: 149199584X ISBN 13: 9781491995846
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