Data identification model by domain symmetry

By: Ramirez Alvarez, Anel

Data identification algorithms are useful models in areas of research and technological development where pattern recognition functions are required to classify data within a definition; the domain symmetry model is a highly efficient Machine Learning algorithm for data identification, capable of classifying images and sounds with a low amount of training data, besides being a model capable of extrapolating to the identification of other types of data thanks to its modeling stage where a contextualization on the nature of the data is applied for the training of the system.Throughout this book the automation of this model is developed and implemented; a model of accessible implementation, with a low computational cost, since it requires a very low amount of training data, fast, versatile in multiple applications and highly efficient.

• Format: Paperback
• Language: English
• ISBN: 6206598357
• ISBN13: 9786206598350
• Release Date: October 2023
• Publisher: Our Knowledge Publishing
• Length: 68 Pages
• Weight: 0.25 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"