Computer vision is a field of artificial intelligence that focuses on developing algorithms and systems that can interpret and understand visual data from the world around us. This includes the ability to recognize and understand objects, scenes, and events in images and videos, as well as to extract information and make predictions based on that data. Computer vision algorithms can be trained on large amounts of data, and can learn to identify patterns and features in images and videos that are difficult for humans to see. This allows them to perform tasks such as image and facial recognition, object detection and tracking, and scene understanding. Computer vision has a wide range of applications, including robotics, medical imaging, security, and surveillance.
This tutorial shows how to use Convolutional Neural Networks (CNNs) with Python for image classification. CNNs belong to the field of deep learning, a subarea of machine learning, and have become a cornerstone to many exciting innovations. There are endless applications, from self-driving cars over biometric security to automated tagging in social media. And the … Read more
