Deep Learning in Engineering, Energy and Finance
eBook - ePub

Deep Learning in Engineering, Energy and Finance

Principals and Applications

  1. 448 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Deep Learning in Engineering, Energy and Finance

Principals and Applications

About this book

Unlock the transformative potential of deep learning in your professional and academic endeavors with Deep Learning in Engineering, Energy and Finance: Principals and Applications. This comprehensive guide seamlessly bridges the gap between theoretical concepts and practical implementations, providing you with the knowledge and tools to revolutionize industries and drive innovation. Delve into real-world applications and cutting-edge research that showcase how deep learning is redefining engineering processes, optimizing energy systems, and reshaping financial markets.

This book:

  • Explores deep learning applications across engineering, energy, and finance, highlighting diverse use cases and industry-specific challenges.
  • Discovers how deep learning is driving breakthroughs in predictive maintenance, energy optimization, algorithmic trading, and risk management.
  • Illustrates all the concepts connected to Deep Learning from head and heart with real-time practical examples and case studies.
  • Stresses on skills needed to tackle future challenges, with a focus on emerging deep learning technologies oriented towards Solar Energy, SOM's, Stock Market, Speech Technology and Many more.

Whether you're a student eager to explore the latest advancements or a seasoned R&D professional seeking to enhance your skill set, this book offers invaluable insights and practical guidance to elevate your expertise.

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Yes, you can access Deep Learning in Engineering, Energy and Finance by Vivek S. Sharma,Shubham Mahajan,Anand Nayyar,Amit Kant Pandit in PDF and/or ePUB format, as well as other popular books in Computer Science & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Editors
  8. List of contributors
  9. 1 Convolutional neural networks: Concepts and applications in solar energy, engineering, and finance
  10. 2 From neurons to networks: Unravelling the secrets of artificial neural networks and perceptrons
  11. 3 Navigating deep learning models and health monitoring infrastructure financing in smart cities: Review from legal perceptions and future innovations
  12. 4 A comprehensive review of learning rules and architecture of perceptron in artificial neural networks (ANNs)
  13. 5 Deep convolution models: Basic definitions, types, and applications in solar energy, engineering, and finance
  14. 6 Self-organizing maps: Concept, architecture, and use cases in engineering and finance
  15. 7 Applications of machine learning/deep learning for power grid: Reliability and resilience of smart grid systems
  16. 8 Energy forecasting of electric vehicles at charging stations using machine learning
  17. 9 Nifty index: Integrating deep learning models for future predictions and investments
  18. 10 Convolutional neural network for developing robust speech technology
  19. Index