Artículo: AMZ-3030367231

Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)

Format:

Paperback

Hardcover

Paperback

eTextbook

Detalles del producto
Disponibilidad
En stock
Peso con empaque
0.28 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • 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.
$138,98
49% OFF
$71,27

IMPORT EASILY

By purchasing this product you can deduct VAT with your RUT number

$138,98
49% OFF
$71,27

3 meses de gracia en diferidos y hasta 6 meses sin intereses con Pacificard

Envío gratis
Llega en 26 o más días hábiles
Con envío
Tienes garantia de entrega
Este producto viaja de USA a tus manos en