Isbn: 9786208578213 - artificial learning based on convolution neural networks: application to the recognition of handwritten digits on bank cheques

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Numerical recognition of bank cheques presents a major challenge and plays an important role in today's world, as machines must be able to learn like humans and solve complex problems such as recognizing the digits of bank cheques. Despite attempts to make machines learn like humans, no machine has yet been able to recognize 100% of handwritten digits. Despite attempts to make machines capable of learning like humans, no machine is yet 100% capable of recognizing handwritten digits. It aims to build a prediction model called a classifier that will facilitate this recognition from data in the MNIST database, with a view to possibly helping banks to speed up the processing of banking transactions by cheque.The approach proposed here essentially consists of two steps: feature extraction and classification of image pixels using a convolutional neural network, one of the deep learning algorithms with a proven track record in image processing.…

Artificial learning based on convolution neural networks

Bienvenue Bukasa Muepu

Sprache: Englisch

Verlag: Our Knowledge Publishing Jan 2025, 2025

6208578213 / 9786208578213

Softcover
Print-on-Demand

Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000

Verkäufer/-in mit 5 Sternen

Verkäufer/-in kontaktieren

Zustand: Neu

EUR 43,90

EUR 60,00 Versand

Versand von Deutschland nach USA

Anzahl: 1 verfügbar

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Numerical recognition of bank cheques presents a major challenge and plays an important role in today's world, as machines must be able to learn like humans and solve complex problems such as recognizing the digits of bank cheques. Despite attempts to make machines learn like humans, no machine has yet been able to recognize 100% of handwritten digits. Despite attempts to make machines capable of learning like humans, no machine is yet 100% capable of recognizing handwritten digits. It aims to build a prediction model called a classifier that will facilitate this recognition from data in the MNIST database, with a view to possibly helping banks to speed up the processing of banking transactions by cheque.The approach proposed here essentially consists of two steps: feature extraction and classification of image pixels using a convolutional neural network, one of the deep learning algorithms with a proven track record in image processing.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…

Isbn: 9786208578213 - artificial learning based on convolution neural networks: application to the recognition of handwritten digits on bank cheques (11 Ergebnisse)

Optimieren Sie Ihre Suche

Artificial learning based on convolution neural networks: Application to the recognition of handwritten digits on bank cheques

Artificial learning based on convolution neural networks

Artificial learning based on convolution neural networks

Artificial learning based on convolution neural networks: Application to the recognition of handwritten digits on bank cheques

Artificial learning based on convolution neural networks | Application to the recognition of handwritten digits on bank cheques

Artificial learning based on convolution neural networks

Artificial learning based on convolution neural networks: Application to the recognition of handwritten digits on bank cheques

Artificial learning based on convolution neural networks: Application to the recognition of handwritten digits on bank cheques

Artificial learning based on convolution neural networks: Application to the recognition of handwritten digits on bank cheques

Artificial learning based on convolution neural networks : Application to the recognition of handwritten digits on bank cheques

Artificial learning based on convolution neural networks