Description
A good book is like a teacher who sits behind the reader and guides him/her accordingly. Deep Learning has been an area of current research. After toiling through the various concepts of Deep Learning, the book slithers around all principles of deep learning. This book highlights in deep the concepts of deep learning so that new projects and researchers can be done. The book serves, both as textbook and as a reference book .Some of the highlights of the book are: Simple Language, Recent Concepts of Machine and Deep Learning explained, MCQ’s, Conceptual Short Questions & Answers, Case Studies, Case Tools (like Tensor Flow, H2O etc.)
Table of Contents
Chapter 1: The Neural Network (Deep Learning).
Chapter 2: Machine Learning Retrospective.
Chapter 3: Deep Feedforward Networks.
Chapter 4: Deep Learning Optimization.
Chapter 5: Convolutional Neural Networks.
Chapter 6: Sequence Analysis.
Chapter 7: Practical Deep Learning.
Chapter 8: Applications of Deep Learning.
Chapter 9: Deep Learning Survey.
Appendix A : Glossary.
Appendix B : Model Question Papers.
Project 1: Training ANN & Acoustic Cryptography of Computer Keyboard.
Project 2: Cryptography Using ANNs.
References
Index
Author
Rajiv Chopra
Dr. Rajiv Chopra has a Doctorate in Computer Science from Banasthali VidyaPith University. The author is M. Tech. in Information Technology from GGSIPU, Delhi. He did BE (CSE) from SDM College of Engg. and Technology, Dharwad and MIT from MAHE. He is working as an Associate Professor in CSE Department at Guru Tegh Bahadur Institute of Information Technology, GGSIPU Delhi. As an educator he has contributed to 21 research publications in Refereed, cited International Conferences and International Journals and attended 21 conferences, workshops, FDPs and seminars. He is a prolific author with 26 Text and Reference books to his credit, for B. Tech. (CSE/IT), M. Tech. (CSE/IT), BCA, MCA and other courses of different Universities of India.
DR. RAJIV CHOPRA –
Gist of deep learning. a very good book with case studies.