Deep learning projects using TensorFlow 2 : neural network development with Python and Keras /

Deep learning projects using TensorFlow 2 : neural network development with Python and Keras /

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Bibliographic Details
Author / Creator:Silaparasetty, Vinita.
Imprint:[United States] : Apress, 2020.
Description:1 online resource
Language:English
Subject:
TensorFlow.
Machine learning.
Neural networks (Computer science)
Machine learning
Neural networks (Computer science)
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12606637
Hidden Bibliographic Details
ISBN:9781484258026
1484258029
1484258010
9781484258019
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Summary: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. You will: Grasp the basic process of neural networks through projects, such as creating music Restore and colorize black and white images with deep learning processes.
Other form:Original 1484258010 9781484258019
Standard no.:10.1007/978-1-4842-5802-6
10.1007/978-1-4842-5

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