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Computer Vision Masterclass

Computer Vision Masterclass

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Computer Vision is a subarea of Artificial Intelligence focused on creating systems that can process, analyze and identify visual data in a similar way to the human eye. There are many commercial applications in various departments, such as: security, marketing, decision making and production. Smartphones use Computer Vision to unlock devices using face recognition, self–driving cars use it to detect pedestrians and keep a safe distance from other cars, as well as security cameras use it to identify whether there are people in the environment for the alarm to be triggered.

In this course you will learn everything you need to know in order to get in this world. You will learn the step–by–step implementation of the 14 (fourteen) main computer vision techniques. If you have never heard about computer vision, at the end of this course you will have a practical overview of all areas. Below you can see some of the content you will implement:

Detect faces in images and videos using OpenCV and Dlib libraries

Learn how to train the LBPH algorithm to recognize faces, also using OpenCV and Dlib libraries

Track objects in videos using KCF and CSRT algorithms

Learn the whole theory behind artificial neural networks and implement them to classify images

Instructor Details

Ol ! Meu nome Jones Granatyr e j trabalho em torno de 10 anos com Intelig ncia Artificial (IA), inclusive fiz o meu mestrado e doutorado nessa rea. Atualmente sou professor, pesquisador e fundador do portal IA Expert, um site com conte do espec fico sobre Intelig ncia Artificial. Desde que iniciei na Udemy criei v rios cursos sobre diversos assuntos de IA, como por exemplo: Deep Learning, Machine Learning, Data Science, Redes Neurais Artificiais, Algoritmos Gen ticos, Detec o e Reconhecimento Facial, Algoritmos de Busca, Minera o de Textos, Buscas em Textos, Minera o de Regras de Associa o, Sistemas Especialistas e Sistemas de Recomenda o. Os cursos s o abordados em diversas linguagens de programa o (Python, R e Java) e com v rias ferramentas/tecnologias (tensorflow, keras, pandas, sklearn, opencv, dlib, weka, nltk, por exemplo). Meu principal objetivo desmistificar a rea de IA e ajudar profissionais de TI a entenderem como essa tecnologia pode ser utilizada na pr tica e que possam visualizar novas oportunidades de neg cios.

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