Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

☆☆☆☆☆
简体网页||繁体网页

Ian Parberry 作者

The MIT Press

译者

1994-07-27 出版日期

304 页数

USD 55.00 价格

Hardcover

Foundations of Computing 丛书系列

9780262161480 图书编码

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书图书标签:

喜欢 Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书的读者还喜欢

下载链接在页面底部

点击这里下载

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

发表于2024-12-24

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书用户评价

评分☆☆☆☆☆

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书著者简介

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书图书目录

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书图书描述

Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the problem size increases. It surveys recent research in circuit complexity (a robust branch of theoretical computer science) and applies this work to a theoretical understanding of the problem of scalability. Most research in neural networks focuses on learning, yet it is important to understand the physical limitations of the network before the resources needed to solve a certain problem can be calculated. One of the aims of this book is to compare the complexity of neural networks and the complexity of conventional computers, looking at the computational ability and resources (neurons and time) that are a necessary part of the foundations of neural network learning. Circuit Complexity and Neural Networks contains a significant amount of background material on conventional complexity theory that will enable neural network scientists to learn about how complexity theory applies to their discipline, and allow complexity theorists to see how their discipline applies to neural networks. More information on the book

Circuit Complexity and Neural Networks (Foundations of Computing) 在线电子书下载 mobi epub pdf txt 在线电子书下载

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!