Deep Learning: An Application in Internet of Things

View Sample PDF

Author(s): Ramgopal Kashyap (Amity University, Raipur, India)
Copyright: 2019
Pages: 29
Source title: Computational Intelligence in the Internet of Things
Source Author(s)/Editor(s): Hindriyanto Dwi Purnomo (Satya Wacana Christian University, Indonesia)
DOI: 10.4018/978-1-5225-7955-7.ch006

Keywords: Artificial Intelligence / Computer Science & IT / Information Science Reference / Web Technologies & Engineering

Purchase

View Deep Learning: An Application in Internet of Things on the publisher's website for pricing and purchasing information.

Abstract

The vast majority of the examination on profound neural systems so far has been centered on acquiring higher exactness levels by building progressively vast and profound structures. Preparing and assessing these models is just practical when a lot of assets; for example, handling power and memory are easy run of the mill applications that could profit by these models. The system starts handling the compelled gadget and depends on the remote part when the neighborhood part does not give a sufficiently precise outcome. The falling system takes into account a new ceasing component amid the review period of the system. This chapter empowers an entire assortment of independent frameworks where sensors, actuators, and registering hubs can cooperate and demonstrate that the falling design takes into account a free change in assessment speed on obliged gadgets while the misfortune in precision is kept to a base.

The IRMA Community

Research IRM

Deep Learning: An Application in Internet of Things

Purchase

Abstract

Related Content

IRMA Sponsors