Visual Computing and Image Processing

Artificial intelligence is a field of computer science dedicated to the study and development of machines and computer programs capable of reproducing human behavior in decision-making and task execution, from the simplest to the most complex.

With the advancement of industry needs, Artificial Intelligence has various segments, including Machine Learning and Deep Learning. These subareas of Artificial Intelligence give computers the ability to identify patterns in massive data and perform predictive analysis, whether for speech recognition or pattern identification in images.

Univariate and multivariate linear regression algorithms can be used in approaching real-world problems, creating models that can explain the relationship between variables and can be used to predict outcomes, according to the problem. The LeNet-5 architecture, applied to recognize images in the database, is one of the most used for testing machine learning algorithms and is developed in this research work.