Deep Learning in Engineering, Energy and Finance: Principals and Applications [Hardcover]

1.?Convolutional Neural Networks: Concepts and Applications in Solar Energy, Engineering and Finance. 2.?From Neurons to Networks: Unravelling the Secrets of Artificial Intelligence Neural Networks and Perceptrons. 3. Navigating Deep Learning Models and Health Monitoring Infrastructure in Smart Cities:? Review from Legal Perspectives and Future Innovations.?4.?A Comprehensive Review of Learning Rules and Architecture of Perceptron in Artificial Neural Networks (ANNs). 5.?Deep Convolution Models: Basic definitions, types and applications in Solar Energy, Engineering and Finance. 6.?Self-Organizing Maps: Concept, Architecture and Use Cases in Engineering and Finance.?7.?Applications of Machine Learning/Deep Learning for Power Grid: Reliability and Resilience of Smart Grid Systems. 8.?Energy Forecasting of Electric Vehicles at Charging Stations using Machine Learning. 9.?Nifty Index: Integrating Deep Learning Models for Future Predictions and Investments.?10. Convolutional Neural Networks for Developing Robust Speech Technology.

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.

Vivek S. Sharma has a PhD in Mathematics from North Maharashtra University. He has teaching experience of over 14 years on courses such as engineering mathematics and allied subjects to engineering undergraduates and post-graduates. He is currently serving as Senior Faculty IT at Inurture NKC, Mumbai Campus. He specializes in statistical data analysis, business analysis, numerical l£7