Deep Learning Projects Using by Silaparasetty Vinita (26 results)

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condition: New. 1st ed. Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts. The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application. What You'll LearnGrasp the basic process of neural networks through projects, such as creating musicRestore and colorize black and white images with deep learning processesWho This Book Is ForBeginners new to TensorFlow and Python.…

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Condition: New. . 2020. 1st ed. Paperback. . . . .

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Paperback. Condition: Brand New. 421 pages. 9.00x6.25x1.00 inches. In Stock.

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Condition: New. Study diagrams, tables, flowcharts, and other such visual aids to interact visually with deep learning informationTroubleshoot deep learning projects&nbspWork through deep learning projects line-by-line to unders.

Paperback. Condition: New. Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts. The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application. What You'll LearnGrasp the basic process of neural networks through projects, such as creating musicRestore and colorize black and white images with deep learning processesWho This Book Is ForBeginners new to TensorFlow and Python.…

Taschenbuch. Condition: Neu. Deep Learning Projects Using TensorFlow 2 | Neural Network Development with Python and Keras | Vinita Silaparasetty | Taschenbuch | xxv | Englisch | 2020 | Apress | EAN 9781484258019 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Paperback. Condition: Brand New. 421 pages. 9.00x6.25x1.00 inches. In Stock. This item is printed on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications.Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts.The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application.What You'll LearnGrasp the basic process of neural networks through projects, such as creating musicRestore and colorize black and white images with deep learning processesWho This Book Is ForBeginners new to TensorFlow and Python. 448 pp. Englisch.…

Condition: New. Print on Demand pp. XXV, 421 147 illus.

Condition: New. PRINT ON DEMAND pp. XXV, 421 147 illus.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications.Deep learning is quickly integrating itself into the technology landscape. Its applications range from applicable data science to deep fakes and so much more. It is crucial for aspiring data scientists or those who want to enter the field of AI to understand deep learning concepts.The best way to learn is by doing. You'll develop a working knowledge of not only TensorFlow, but also related technologies such as Python and Keras. You'll also work with Neural Networks and other deep learning concepts. By the end of the book, you'll have a collection of unique projects that you can add to your GitHub profiles and expand on for professional application.What You'll LearnGrasp the basic process of neural networks through projects, such as creating musicRestore and colorize black and white images with deep learning processesWho This Book Is ForBeginners new to TensorFlow and Python.…