Advanced Deep Learning for Engineers and Scientists / EAI/Springer Innovations in Communication and Computing (PDF)
45 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book.
- Presents practical basics to advanced concepts in deep learning and how to apply them through various projects;
- Discusses topics such as deep learning in smart grids and renewable energy & sustainable development;
- Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.
Dr. Ramani Kannan is a Senior Lecturer in UniversitiTeknologiPETRONAS, Malaysia. He received his B.E degree from Bharathiyar University, India. Later on completed his M.E and PhD in Power Electronics and Drives from Anna University respectively. He holds more than 115 publications in reputed international and national journals and conferences. He is an active senior member in IEEE(USA), and members of IE(I), IET(UK), ISTE(I) and Instituteof advance engineering and
Dr. S. Albert Alexander is a Postdoctoral Research Fellow from Northeastern University, Boston, Massachusetts, USA. He is the recipient of prestigious Raman Research Fellowship from the University Grants Commission (Government of India). His current research focuses on fault diagnostic systems for solar energy conversion systems and smart grids. He has 13 years of academic and research experience. He has published 15 technical papers in international and national journals (including IEEE Transactions, IET, Elsevier etc.,) and presented 23 papers at national and international conferences. He has completed 4 Government of India-funded projects and 1 multilateral project is under progress with the overall grant amount of Rs.1.86 crores. His PhD work on power quality earned him a National Award from ISTE, and he has received 22 awards for his meritorious academic and research career (such as Young Engineers Award from IE(I), Young Scientist Award from SPRERI, Gujarat etc.,). He has also received the National Teaching Innovator Award from MHRD (Government of India). He is an approved "Margadarshak" from AICTE (Government of India). He has guided 31 graduate and postgraduate projects. He is presently guiding 8 research scholars. He is a member and in prestigious positions in various national and International forums (such as Senior Member, IEEE and Vice President for Energy Conservation Society, India etc.,). He has been an invited speaker in 177 programs covering eight Indian states and also at USA. He has organized 11 events, including faculty development programs, workshops, and seminars. He completed his graduate program in Electrical and Electronics Engineering from Bharathiar University and his postgraduate program from Anna University, India. Presently he is working as an Associate Professor in the Department of EEE, Kongu Engineering College and also doing research work in smart grids, solar PV, and power quality improvement techniques. He has authored the following books in his areas of interest: (1) Computational Paradigm Techniques for Enhancing Electric Power Quality, CRC Press, (2) Basic Electrical, Electronics and Measurement Engineering, Anuradha Publishers and (3) Special Electrical Machines, Anuradha Publishers.
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. (Wireless Body Area Networks, Healthcare) in Anna University Chennai in 2017. He is currently an Associate Professor, Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R& amp;D Institute of Science and Technology. His main research interest includes Body Sensor Network and Fault tolerant Wireless Sensor Network. He has published several reputed articles and undertaken several consultancy activities for leading MNC companies. He has also guest edited several special issue volumes and books in
SPRINGER and serving as editorial review board members for peer reviewed journals. He is presently working on several Govt sponsored research projects like ISRO, DBT and DST. He is Director for the EAZYTHINGS Technology Private limited company.
- 2021, 1st ed. 2021, 285 Seiten, Englisch
- Herausgegeben: Kolla Bhanu Prakash, Ramani Kannan, S. Albert Alexander, G. R. Kanagachidambaresan
- Verlag: Springer International Publishing
- ISBN-10: 3030665194
- ISBN-13: 9783030665197
- Erscheinungsdatum: 24.07.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 17 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Advanced Deep Learning for Engineers and Scientists / EAI/Springer Innovations in Communication and Computing".
Kommentar verfassen