This volume on "Advances in Analysis and Design of Deep Foundations" contains 22 technical papers which cover various aspects of analysis and design of deep foundations based on full-scale field...
This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning...
This book bridges the gap between theoretical mathematics and practical applications in AI. Whether you're aiming to develop practical skills for AI projects, advance to emerging trends in deep...