Compartir
Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Ovidiu Calin (Autor)
·
Springer International Publishing
· Tapa Blanda
Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences) - Ovidiu Calin
Sin Stock
Te enviaremos un correo cuando el libro vuelva a estar disponible
Reseña del libro "Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)"
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Blanda.
✓ Producto agregado correctamente al carro, Ir a Pagar.
