Tags
Language
Tags
<<
March 2025
Su Mo Tu We Th Fr Sa
23 24 25 26 27 28 1
2 3 4 5 6 7 8
9 10 11 12 13 14 15
16 17 18 19 20 21 22
23 24 25 26 27 28 29
30 31 1 2 3 4 5
Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
SpicyMags.xyz
  1. Home
  2. eBooks & eLearning
  3. Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science)

Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science)

Posted By: hill0
Date: 9 Jun 2018 08:10:04
Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science)

Deep Neural Networks in a Mathematical Framework (SpringerBriefs in Computer Science) by Anthony L. Caterini
English | 26 Apr. 2018 | ISBN: 3319753037 | 100 Pages | PDF/EPUB | 2.72 MB

This SpringerBrief describes how to build a rigorous end-to-end mathematical framework for deep neural networks. The authors provide tools to represent and describe neural networks, casting previous results in the field in a more natural light. In particular, the authors derive gradient descent algorithms in a unified way for several neural network structures, including multilayer perceptrons, convolutional neural networks, deep autoencoders and recurrent neural networks. Furthermore, the authors developed framework is both more concise and mathematically intuitive than previous representations of neural networks.
UPWARDS