Overview
- Provides a practical end-to-end guide to TensorFlow, the leading open source software library for building and training neural networks
- Pertains to a broad technical audience—from data scientists and engineers to students and researchers
- Shows how to implement advanced techniques in deep learning and explore deep neural networks and layers of data abstraction
Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).
Editors and Affiliations
About the editors
Dr. Kolla Bhanu Prakash is working as Professor and Research Group Head for Artificial Intelligence and Data Science Research Group in CSE DEPARTMENT, K L University, VIJAYAWADA, Andhra Pradesh, India. He received his M.Sc and M.Phil in Physics from Acharya Nagarjuna University, Guntur, India, M.E and Ph.D in Computer Science & Engineering from Sathyabama University,Chennai, India. Dr. Kolla Bhanu Prakash has 14+ years of experience working in academia, research, teaching, academic administration. His current research interests include Deep Learning, IOT, Big Data Analytics and Natural Language Processing. He was the recipient of Best Speaker award during M.Sc. He has authored over 52+ research papers in various national and international journals and conferences. His publications are indexed in Scopus, Web of Science, DBLP and Google scholar. He is IEEE – Senior Member, Fellow – ISRD, received Best Teacher Award - K.L.University, Reviewer - IEEE Access Journal, Treasurer - ACM Amaravathi Chapter, Life Member – ISTE, Reviewer and TPC member in National and International Conferences, IJRAR RMS MEMBER, International Journal of Research and Analytical Reviews, 5 Patents published, Reviewer – IEEE Access, Wireless Networks Journal, Applied Soft Computing Journal, International Journal of Advanced Computer Science and Applications (IJACSA), Senior Member - theIRED [UACEE] and MEMBER - EXPERTS OF ACADEMIC EXCELLENCE RESEARCH CENTRE. He is currently editing 6 International books with reputed publishers like Springer, Elsevier, Wiley, Degryuter and CRC press.
Dr. G. R. Kanagachidambaresan received his B.E degree in Electrical and Electronics Engineering from Anna University in 2010 and M.E Pervasive Computing Technologies in Anna University in 2012. He has completed his Ph.D. in Anna University Chennai in 2017. He is currently an Associate Professor, Department of CSE, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. His main research interest includes IoT, Machine learning and Wireless Networks. He has authored several research articles in leading International journals. He is presently working with funding agencies like Indian Space Research Organisation and Department of Biotechnology on IoT projects. He is an Editor in Chief for Next Generation computing and communication Engineering series Wiley. He is also associate editor in Wireless Networks, Springer.
Bibliographic Information
Book Title: Programming with TensorFlow
Book Subtitle: Solution for Edge Computing Applications
Editors: Kolla Bhanu Prakash, G. R. Kanagachidambaresan
Series Title: EAI/Springer Innovations in Communication and Computing
DOI: https://doi.org/10.1007/978-3-030-57077-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-57076-7Published: 23 January 2021
Softcover ISBN: 978-3-030-57079-8Published: 23 January 2022
eBook ISBN: 978-3-030-57077-4Published: 22 January 2021
Series ISSN: 2522-8595
Series E-ISSN: 2522-8609
Edition Number: 1
Number of Pages: X, 190
Topics: Signal, Image and Speech Processing, Machine Learning, Computational Intelligence, Programming Languages, Compilers, Interpreters