Namaste! I spent quite a lot of time in 2018 teaching and applying Deep Learning. Training and deploying Deep Neural Networks. It is rather difficult for me to count the number of people who went through my trainings and trained one Neural Network after the other. Currently, I am working on a plan for 2018: […]
Namaste! This weekend I set aside a couple of hours for a nice pastime. I had a mission. Preparing the next release candidate of my Deep Learning library NGDLM. That was my original intention. After quite some refactoring and some stabilizing I got an idea. Why not testing NGDLM with a little challenge? So down […]
Namaste! A while ago… In one of my recent blog-posts… I told the story of me attending the Stuttgart.AI meetup. A detail of that story was inspiration. Somehow I got motivated to dive again into the Deep Reinforcement Learning topic. And as you know me… Inspiration leads to code! And code leads to me telling […]
Namaste! I am very sure, that the title of this article might confuse you. It is a reference to both our shared passion and my own personal one. Truth be told, I am an avid fan of the works of H. P. Lovecraft. Lovecraft was a gentleman-writer from New England. He wrote quite a lot […]
Namaste! In my last blog-post I wrote about Deep Learning and diseases. I showed a way to use a simulator in order to generate a large data-set for a Neural Network that analyzes diseases. Because you need large data-sets for Deep Learning, right? This is a good moment to focus on Machine Learning and Deep […]
Namaste! Today will be all about infectious diseases! Well… Simulated and non-deadly ones! There is a nice article on Wikipedia about Compartmental models in epidemiology. I found it intriguing. Epidemiology is a mix of medicine, biology, demography, and environmental social sciences. People in that area are very interested in how infectious diseases spread. This caught […]
Namaskar! I sometimes mention that I am very interested in integrating Deep Learning and art. I consider myself being an artist, too. A part of Francois Chollet’s book on Deep Learning is dedicated to that topic. And his implementation of a Recurrent Neural Network is the prime example of automatic text generation. The idea is […]
Namaste! Es geht mit großen Schritten weiter in Richtung Ziel. Wir erinnern uns ans gewagte Vorhaben: Ein Dichter-Klassifikator. Klingt ein Text eher nach Johann Wolfgang von Goethe, Gotthold Ephraim Lessing, Friedrich Schiller oder Hermann Hesse? Der Dichter-Klassifikator weiß es! Heute steht Data-Preprocessing auf dem Plan. Das ist der letzte Schritt vorm Training. In meinem ersten […]
Namaste! Dieser Artikel ist eine Fortsetzung. Wir bauen weiter an dem Dichter-Klassifikator. Zur Erinnerung: Damit ist ein spezielles Neural-Network gemeint. Es kennt Dichter. Johann Wolfgang von Goethe, Gotthold Ephraim Lessing, Friedrich Schiller und Hermann Hesse. Eine KI, die beliebige Texte lesen kann und dann sagt, wonach sie klingen. Wir liegen gut in der Zeit. Heute […]
Namaste! Wir habe heute etwas besonderes vor. Dieser Post ist der erste aus einer kleinen Serie. Ein Anfang. Vor uns liegt ein Dichter-Klassifikator. Was steckt dahinter? Ganz einfach. Ein Neural-Network, das beliebige Texte einschätzt. Klingt ein Text eher nach Johann Wolfgang von Goethe, Gotthold Ephraim Lessing, Friedrich Schiller oder Hermann Hesse? Das Neural-Network weiß es. […]