Person Identification System using Handwritten signatures by ANN | A Neural Network Perspective

Jayesh Rane

ISBN 10: 6139894719 / ISBN 13: 9786139894710

Published by LAP LAMBERT Academic Publishing, 2018

About this Item

Person Identification System using Handwritten signatures by ANN | A Neural Network Perspective | Jayesh Rane | Taschenbuch | 56 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139894710 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 114386820

Bibliographic Details

• Title: Person Identification System using Handwritten signatures by ANN | A Neural Network Perspective
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 6139894719
• ISBN 13: 9786139894710
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 102 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

We know that computers are better than people at crunching series of numbers, but what about tasks that are more complex? How do you teach a computer what a cat looks like? Or how to drive a car? Or how to play a complex strategy game? Or make predictions about the stock market? These are some of the most difficult tasks in artificial intelligence, far outstripping the capabilities of normal machine learning techniques. In these cases, computer scientists turn to neural networks. What sets neural networks apart from other machine learning algorithms is that they make use of an architecture inspired by the neurons in the human brain. These networks turn out to be well-suited to modeling high-level abstractions across a wide array of disciplines and industries.