Share
Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Ovidiu Calin (Author)
·
Springer International Publishing
· Paperback
Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences) - Ovidiu Calin
£ 70.70
£ 78.56
You save: £ 7.86
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Wednesday, May 22 and
Monday, May 27.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "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)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
