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Programming with TensorFlow

Solution for Edge Computing Applications

  • 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)

  1. Front Matter

    Pages i-x
  2. Introduction to Tensorflow Package

    • Kolla Bhanu Prakash, Adarsha Ruwali, G. R. Kanagachidambaresan
    Pages 1-4
  3. Tensorflow Basics

    • Abhilash Kumar Jha, Adarsha Ruwali, Kolla Bhanu Prakash, G. R. Kanagachidambaresan
    Pages 5-13
  4. Visualizations

    • G. R. Kanagachidambaresan, G. Manohar Vinoothna
    Pages 15-21
  5. Regression

    • Kolla Bhanu Prakash, Adarsha Ruwali, G. R. Kanagachidambaresan
    Pages 23-37
  6. Neural Network

    • Pradeep Kumar Vadla, Adarsha Ruwali, Kolla Bhanu Prakash, M. V. Prasanna Lakshmi, G. R. Kanagachidambaresan
    Pages 39-43
  7. Convolutional Neural Network

    • Y. V. R. Nagapawan, Kolla Bhanu Prakash, G. R. Kanagachidambaresan
    Pages 45-51
  8. Recurrent Neural Network

    • G. R. Kanagachidambaresan, Adarsha Ruwali, Debrup Banerjee, Kolla Bhanu Prakash
    Pages 53-61
  9. Application of Machine Learning and Deep Learning

    • Enireddy Vamsidhar, G. R. Kanagachidambaresan, Kolla Bhanu Prakash
    Pages 63-74
  10. Chatbot

    • Kolla Bhanu Prakash, A. J. Sravan Kumar, G. R. Kanagachidambaresan
    Pages 75-85
  11. PyTorch

    • Sagar Imambi, Kolla Bhanu Prakash, G. R. Kanagachidambaresan
    Pages 87-104
  12. Pattern Recognition and Machine Learning

    • Bharadwaj, Kolla Bhanu Prakash, G. R. Kanagachidambaresan
    Pages 105-144
  13. Programming Tensor Flow with Single Board Computers

    • G. R. Kanagachidambaresan, Kolla Bhanu Prakash, V. Mahima
    Pages 145-157
  14. Back Matter

    Pages 159-190

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

  • KL Deemed to be University, Vijayawada, AP, India

    Kolla Bhanu Prakash

  • Department of CSE, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Chennai, India

    G. R. Kanagachidambaresan

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

Buy it now

Buying options

eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access