| Language | English |
|---|---|
| ISBN-10 | 978-8126579914 |
| ISBN-13 | 9788126579914 |
| No of pages | 190 |
| Font Size | Medium |
| Book Publisher | Wiley |
| Published Date | 01 Jan 2019 |
About Author
Related Books
| Language | English |
|---|---|
| ISBN-10 | 978-8126579914 |
| ISBN-13 | 9788126579914 |
| No of pages | 190 |
| Font Size | Medium |
| Book Publisher | Wiley |
| Published Date | 01 Jan 2019 |
L. Ashok Kumar is presently working as Professor in the Department of Electrical and Electronics Engineering at PSG College of Technology, Coimbatore.
He has completed his Ph.D. from Anna University, Chennai in the field of Wearable Electronics. He has been selected as the Visiting Professor in the University of Arkansas.
He was trained in Germany for installing Grid connected and stand alone Solar PV systems. He has contributed a number of articles in national and international journals.
His areas of interest include wearable electronics, power electronics and drives, and renewable energy systems.
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The book has been divided into seven chapters. Chapter 1 elaborately deals with the fundamentals of deep learning, to enable any reader to understand the deep learning architectures elaborated in subsequent chapters. Chapter 2 deals with convolutional neural networks (cans), which have proven to be very effective in the area of computer vision. Chapter 3 deals with recurrent neural networks (runs) and its variants.
The various types of autoencoders, which are a type of artificial neural network used to learn efficient data Encoding, are presented in Chapter 4. To learn the probability distribution over the set of inputs, restricted Boltzmann machine (RBI) is discussed in Chapter 5.chapter 6 presents popular open source frameworks in Python for deep learning applications. Chapter 7 describes how to utilize the knowledge that you have gained from previous chapters in real-time applications.