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Published by Packt Publishing 3/4/2021, 2021
ISBN 10: 1800206135 ISBN 13: 9781800206137
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Paperback or Softback. Condition: New. Deep Learning from the Basics: Python and Deep Learning: Theory and Implementation. Book.
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Published by Packt Publishing, Limited, 2021
ISBN 10: 1800206135 ISBN 13: 9781800206137
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Published by Packt Publishing 2021-03-08, 2021
ISBN 10: 1800206135 ISBN 13: 9781800206137
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Published by Packt Publishing, Limited, 2021
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Deep Learning from the Basics provides a step-by-step guide to these complex algorithms, from the ground up. From the basics of machine learning to multilayer neural networks, this book presents a thorough overview of these technologies enabling you to impl.
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Taschenbuch. Condition: Neu. Deep Learning from the Basics | Python and Deep Learning: Theory and Implementation | Koki Saitoh | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Packt Publishing | EAN 9781800206137 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning is rapidly becoming the most preferred way of solving data problems. This is thanks, in part, to its huge variety of mathematical algorithms and their ability to find patterns that are otherwise invisible to us.Deep Learning from the Basics begins with a fast-paced introduction to deep learning with Python, its definition, characteristics, and applications. You'll learn how to use the Python interpreter and the script files in your applications, and utilize NumPy and Matplotlib in your deep learning models. As you progress through the book, you'll discover backpropagation-an efficient way to calculate the gradients of weight parameters-and study multilayer perceptrons and their limitations, before, finally, implementing a three-layer neural network and calculating multidimensional arrays. By the end of the book, you'll have the knowledge to apply the relevant technologies in deep learning.