Theoretical Foundations of Deep Learning
Theoretical Foundations of Deep Learning presents a theory-centered introduction to the ideas behind deep learning. It considers the mathematical and conceptual foundations that support the field, making it a useful resource for readers who want to approach deep learning through rigorous academic study rather than applications alone.
About This Book
Theoretical Foundations of Deep Learning examines deep learning through the lens of theory and fundamental principles.
Its focus is on the mathematical and conceptual ideas that help explain how deep learning methods are constructed and understood.
The book is suited to readers seeking a foundation for engaging with deep learning as an academic and technical subject.
With an emphasis on theory rather than a specific application area, it provides a starting point for further study in modern machine learning.
Reviews
No reviews yet. Be the first to review this book!