Low-Level

Semi-Conductor Technic

Bohr’s Atom model Atoms consist of protons, neutrons and electrons. Protons (+) and Electrons (-) exhibit corresponding electric charges In a normal condition, an atom is neutral: same number of negative and positive charges. Electrons move in different shell-like paths around the core. This level is determined by the electron’s energy level. Shells are distinguished …

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Artificial Intelligence Cognitive Algorithms Machine Learning Math

Introduction to Machine Learning – Cognitive Algorithms

Welcome to the first article of Introduction to Machine Learning Series. You can continue reading about the Perceptron Algorithm after this one. What are Cognitive Algorithms? An algorithm is: a process or set of rules to be followed in calculations or other problem-solving operations, especially by a computer. We can perform calculations, automate tasks or …

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Cognitive Algorithms Machine Learning Math

Introduction to Machine Learning – Perceptron Algorithm

Perceptron algorithm is one of the ground breaking improvements in Machine Learning, especially in Supervised Learning. It was invented in 1958 by Rosenblatt and still used as the basis of very powerful algorithms like Neural Networks. The main idea behind it, is a simple Optimization Problem. The following description belongs to Perceptrons, but it tells …

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Artificial Intelligence Cognitive Algorithms Machine Learning

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, What is CycleGAN?

The paper offers a technique called CycleGAN, which claims to achieve image-to-image translation without paired data sets,whereas  in classical methods like pix2pix, a paired training dataset is required, ie. winter and summer pictures of thousands of landscapes, and provided such dataset, with pix2pix a model can be trained to translate a given test dataset, say …

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