Oct 31, 2020Why good teaching helps you do better researchIn this blog post, I would like to discuss academic teaching with you; Why teaching is frowned upon by many researchers, and how it can actually help them be better at doing research by teaching great courses. Part 1: The dilemma of teaching Researchers at institutions with teaching assignments often find themselves faced with a dilemma…Teaching6 min readTeaching6 min read
Mar 12, 2020Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal ImagesToday, we will discuss our most recent paper HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images (by Johan Vertens, Jannik Zürn, and Wolfram Burgard). This post serves as a quick and dirty introduction to the topic and to the work itself. For more details, please refer…Thermal Imaging7 min readThermal Imaging7 min read
Published inThe Startup·Jan 4, 2020Member-onlySelf-Supervised Visual Terrain ClassificationIn this post, I present a summary of my findings from my most recent paper Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning. A preprint is available here and the project website is available at http://deepterrain.cs.uni-freiburg.de/. This post is more technical than my usual posts. If you have…Machine Learning10 min readMachine Learning10 min read
Published inTowards Data Science·Apr 30, 2019Member-onlyWhat’s new in TensorFlow 2.0?The machine learning library TensorFlow has had a long history of releases starting from the initial open-source release from the Google Brain team back in November 2015. Initially developed internally under the name DistBelief, TensorFlow quickly rose to become the most widely used machine learning library today. And not without…Machine Learning10 min readMachine Learning10 min read
Feb 24, 2019But what is an Autoencoder?In today’s post I would like to give you a quick-and-dirty introduction into a neural network architecture type called Autoencoders. The post is aimed at Machine Learning beginners who would like get some basic insights into Autoencoders and why they are so useful. Context Autoencoders are structured to take an input…Machine Learning10 min readMachine Learning10 min read
Nov 24, 2018Reinforcement Learning — An introductionReinforcement Learning (RL) has had tremendous success in many disciplines of Machine Learning. While the results of RL almost look magical, it is surprisingly easy to get a grasp of the basic idea behind RL. In this post, we will discuss the basic principles of RL and we will implement…Machine Learning9 min readMachine Learning9 min read
Nov 7, 2018Using a TPU in Google ColabLast week, we talked about training an image classifier on the CIFAR-10 dataset using Google Colab on a Tesla K80 GPU in the cloud. This time, we will instead carry out the classifier training on a Tensor Processing Unit (TPU). Because training and running deep learning models can be computationally…Machine Learning3 min readMachine Learning3 min read
Nov 6, 2018Training a CIFAR-10 classifier in the cloud using TensorFlow and Google ColabGoogle Colab is a free cloud-based Jupyter notebook environment running completely on Google cloud infrastructure. You can create and execute any Jupyter notebook you want in the browser. Google generously assigns each user a free Tesla K80 with 12GB memory for 12 hours at a time for their small-scale private…Machine Learning3 min readMachine Learning3 min read
Oct 25, 2018The C-M-C approach: Towards a better understanding of complicated thingsLately, I came to the realization that the process of thoroughly understanding a scientific theory or fact may be divided into three tiers: Concept (C) Math (M) Code (C) One cannot master a tier until the previous tier has been mastered thoroughly. Let me walk you through these three tiers: Concept …Numerical Analysis7 min readNumerical Analysis7 min read
Sep 17, 2018Robot localization with Kalman-Filters and landmarksMeet ‘Robby’. Robby is a robot. Well technically he is a simplistic virtual model of a robot, but that should be fine for our purpose. Robby is lost in his virtual world consisting of a two-dimensional plane and a couple of landmarks. He does have a map of his environment…Kalman Filter6 min readKalman Filter6 min read
