Pearson presents Deep Learning: Core Concepts, Methods and Applications by globally renowned author and academician, M Gopal. This book explores the theoretical underpinnings of Deep Learning and equips its readers with the knowledge needed to apply powerful deep learning techniques to solve challenging real-world problems. Presented in a non-rigorous mathematical style, the text offers sufficient technical depth to provide working foundation for the subject. The emphasis is on getting the solid grip on core principles and methods. The book shows step-by-step method to conceptualize problems, accurately represent data, select and tune algorithms, interpret and analyse results, and make informed strategic decisions. It also provides platform for hands-on experience through case studies.
Read More
Specifications
Book Details
Publication Year
2022 5
Table of Contents
1. Deep Learning: A Step Forward Toward Artificial Intelligence (AI)
2. Training Deep Learning Networks
3. Convolutional Neural Networks (CNNs)
4. Sequence Modeling using Recurrent Neural Networks (RNNs)
5. Deep Learning for Natural Language Processing
6. Deep Learning Networks in Reinforcement Learning Framework
7. A Gentle Start on Deep Learning Experiments for
Selected Applications
Contributors
Author Info
M.Gopal, an Ex-Professor of IIT Delhi, is globally known academician with excellent credentials as author, teacher, and researcher. As a teacher, his potential is being used globally through a video course (http://www. youtube.com/iit); one of the most popular NPTEL courses by the IIT faculty. More than a million students, teachers, researchers, and practitioners have used his books and the video course for knowledge acquisition over the past more than four decades.