Higher Education

Deep Learning: Algorithms and Applications

Author(s): R. Ramalakshmi | T. Marimuthu | Vaibhav Gandhi

ISBN: 9789366606606

1st Edition

Copyright: 2026

India Release: 2025

₹725

Binding: Paperback

Pages: 554

Trim Size: 241 x 181 mm

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Deep learning has emerged as one of the most transformative technologies of the 21st century, driving advancements across interdisciplinary areas such as computer vision, natural language processing, healthcare, robotics, and several others. This book is designed to provide a comprehensive and structured journey through the core principles, models, and innovations that define modern day deep learning approaches. Whether you are a student, researcher, or practitioner, this book aims to bridge theory and practice, equipping you with, both, the conceptual understanding and practical tools to navigate the dynamic world of deep learning.

  • Simple and lucid language
  • Student-friendly
  • Comprehensive coverage
  • Sufficient practice examples for students
  • Rich pedagogy
  • Conceptual as well as practical approach

CD App includes: Self-assessments and Additional reading

 

PART I   Foundations

1. Introduction to Deep Learning

2. Machine Learning Fundamentals

3. Mathematical Building Blocks

PART   II Deep Learning Models

4. Artificial Neural Networks

5. Convolutional Neural Networks (CNN)

6. Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)

7. Gated Recurrent Unit (GRU) and Generative Adversarial Networks (GANs)

8. Optimization Algorithms and Regularization Techniques

PART III   Advanced Techniques in Deep Learning

9. Auto Encoders, Attention Mechanisms and Transformers

10. Reinforcement Learning and Deep Q-Networks (DQN)

11. Neural Architecture Search (NAS) and AutoML

PART IV   Deep Learning Frameworks and Tools

12. Popular Deep Learning Frameworks and Libraries

PART V   Ethical and Social Implications of Deep Learning

13. Bias, Fairness, Data Protection and Ethical Challenges in DL Models

PART VI   Deep Learning Applications and Future Trends

14. DL Applications in Computer Vision, NLP, Recommender Systems, Time series

15. Challenges, Opportunities and Future Research Trends

Case Studies

Glossary

List of Acronyms

Additional Resources and References

R. Ramalakshmi, PhD, is Director & Professor of Computer Science—Centre for Online Education at Kalasalingam Academy of Research and Education, Virudhunagar.

T. Marimuthu, PhD, is Assistant Professor and Deputy Director of Computer Science—Centre for Online Education at Kalasalingam Academy of Research and Education, Virudhunagar.

Vaibhav Gandhi, PhD, is Head of Computer Science, University of Southampton (Delhi Campus), India. Previously, he was Director of Programmes—Product Design and Engineering at School of Science & Technology at Middlesex University, London.