Today, machine learning techniques can be used to analyze an image and find out which object(s) are visible on the image. I wanted to find out how this works and designed a Convolutional Neural Network, which divides images into 2 classes, depending on whether a dog or a cat is shown. This blog post describes the development and discusses the results.
Author: Pete T. Pan
What Distinguishes Humans from Animals?
Animals don’t ask themselves: What if? They also use tools, but no bird will ever use a stick to try to get a stone out of a hole just to be prepared if one day in the future there is a nut instead of the stone.
Rettungsmassnahmen für die 2. Säule (BVG)
Unser Schweizerisches Sozialsystem benötigt dringend eine Revision. In diesem Artikel fokussiere ich auf die 2. Säule und diskutiere einige Vorschläge, auf welche ich über die Zeit gestossen bin.
The Curse of Dimensionality
I recently had a discussion with a colleague. He was of the opinion that nowadays more and more people are disclosing data about themselves on the Internet and that it is therefore becoming easier and easier to make very targeted offers to a person who visits a website. Then I explained the Curse of Dimensionality… Read more The Curse of Dimensionality
AHV Alter 66 für alle
Die Erhöhung des Rentenalters auf 66 Jahre für Männer und Frauen eine einfache und mehrheitsfähige Massnahme mit grosser Wirkung.
Machine Learning vs. Neural Networks
Machine Learning is more than neural networks. This blog post provides a quick overview and links to the most important concepts.