Computer vision

Midjourney in 2 hours: Practical Guide for Beginners

What you will learn Requirements Descripton The generation of images with artificial intelligence represents a significant advance in the ability to create visual content autonomously. Using advanced algorithms such as generative neural networks, AI can learn complex patterns from datasets and generate realistic images that often surprise with their quality and originality. This technology has …

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Artificial Intelligence and Machine Learning: Complete Guide

What you will learn Requirements Description The fields of Artificial Intelligence and Machine Learning are considered the most relevant areas in Information Technology. They are responsible for using intelligent algorithms to build software and hardware that simulate human capabilities. The job market for Machine Learning is on the rise in various parts of the world, …

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The Ultimate Beginners Guide to ChatGPT and DALL-E

What you will learn Requirements Description This course provides a detailed guide to exploring and understanding ChatGPT, an advanced language model that is capable of generating human text. Through this course, you will be introduced to how ChatGPT works, learning how to implement its applications in various areas. Let’s start by defining and detailing what …

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Computer Vision Masterclass

What you will learn Requirements Description 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 …

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The Ultimate Beginners Guide to Face Detection & Recognition

What you will learn Requirements Description Facial detection is a subarea of Computer Vision that aims to detect people’s faces in images or videos. Smartphones and digital cameras use these features to select people in a photo, usually placing a rectangle around the face. This type of application has gained considerable relevance in security systems, …

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TensorFlow Hub: Deep Learning, Computer Vision and NLP

What you will learn Requirements Description Deep Learning is the application of artificial neural networks to solve complex problems and commercial problems. There are several practical applications that have already been built using these techniques, such as: self-driving cars, development of new medicines, diagnosis of diseases, automatic generation of news, facial recognition, product recommendation, forecast …

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