machine learning

When it comes to Artificial Intelligence, the debate can get hot quite quickly, usually between a faction crouching in a self-defense position, sustaining that human capabilities are not to be reached from machines any time soon, and a faction advocating that the era of AI is instead almost here, if not already arrived. This post…

YOLO and the family of the Single-Shot Decoders contributed for a quantum leap in Computer Vision.

Deep coding: let the machines do the coding. Are we just about leaving them the dirty work, or outsourcing our last link to the loop?

Two neural networks “fighting” each other in a zero-sum game. Generative adversarial neural networks are among the most interesting advances in Artificial Intelligence in the last 10 years.

Artificial Neural Networks demystified are the foundation of the modern machine learning. A gentle math-less introduction on what they are and how they work.

Convolutional Neural Networks: recognition and categorization by progressive abstraction The Convolute Neural Networks or ConvNet (CNN) are among the most commonly used Deep Learning algorithms in computer vision. They are applied in many fields, from autonomous cars to drones, from medical diagnoses to support and treatment for the visually impaired. What is a convolution? Wolfram…

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