Interactive Convolutional Neural Network

Image recognition is one of the main topics Deep Learning is focusing on. Indeed, the family of algorithms entitled to deal with image recognition belongs to the class of Neural Networks, typical multi-layers algorithms employed in deep learning tasks. More specifically, image recognition employs Convolutional Neural Networks (CNNs), which I’ve been explaining in my previous […]

Haar Cascade: Integral Image

Computer vision is a field of study which aims at gaining a deep understanding from digital images or videos. Combined with AI and ML techniques, today many industries are investing in researches and solutions of computer vision. In my article published on Towards Data Science (if you haven’t read it already, I recommend you to […]

Computer Vision: Feature Matching with OpenCV

Computer vision is a field of study which aims at gaining a deep understanding from digital images or videos. Combined with AI and ML techniques, today many industries are investing in researches and solutions of computer vision. Namely, think about the security procedures in the Airport: when you have to exhibit your passport, it is […]

Deep learning for image recognition: Convolutional Neural Network with Tensorflow

Deep learning is a subset of Machine Learning (that is, again, a subset of Artificial Intelligence) whose algorithms are based on the layers used in artificial neural networks. It has a variety of applications, among which image recognition, that is what we are going to discuss in this article. To show how to build, train […]