Franziska LippoldtThe Computational Complexity of Graph Neural Networks explainedUnlike conventional convolutional neural networks, the cost of graph convolutions is “unstable” — as the choice of graph representation and…Sep 10, 2020Sep 10, 2020
Franziska LippoldtA Guide to Docker for Machine Learning Written for Clever BeginnersSetting up and running a neural network in an optimal manner on remote machines to ensure stable running and also enable further easy…Jul 10, 2019Jul 10, 2019
Franziska LippoldtA Review: Distributed Private Machine Learning Tutorial at CVPR 2019An update from the CVPR tutorial and recent publications.Jul 3, 2019Jul 3, 2019
Franziska LippoldtA Guide for running Mask R-CNN efficiently stableOr Why machine learning engineers also need to be DevOpsJan 28, 2019Jan 28, 2019
Franziska LippoldtDApp Deployment: Petshop now and from scratchIn this article I will describe the process of getting a full DApp to run on a Testnetwork (Gauche) using a cloud service and recent…Mar 8, 2018Mar 8, 2018
Franziska LippoldtMachine Ethics Part 2: First hands-on workshop on Machine Ethics and autonomous carsThis is post number two of a series on machine ethics. You can find part one here.Dec 6, 2017Dec 6, 2017
Franziska LippoldtMachine Ethics Part 1: Introduction to Reasonable Machines and Machine EthicsWhat the moral machine from MIT has shown, is that there is a huge need for ethical reliability in technology development. From fridges…Dec 5, 20171Dec 5, 20171
