Ein Blog der ZHAW Zürcher Hochschule für Angewandte Wissenschaften
by Fernando Benites (ZHAW and SpinningBytes) cross-posted from github We explain here, step by step, how to reproduce results of the approach and discuss parts of the paper. The approach was aimed at building a strong baseline for the task, which should be beaten by deep learning approaches, but we did not achieve that, so […]
by Fernando Benites (ZHAW and SpinningBytes) cross-posted from the SpinningBytes blog schwiiz ja* This year, the SpinningBytes team participated in the VarDial competition, where we achieved second place in the German Dialect Identification shared task. The task’s goal was to identify, which region the speaker of a given sentence is from, based on the dialect […]
By Gabriel Eyyi (ZHAW) In this blog post I will show how to combine dynamic models from Modelica with reinforcement learning. As part of one of my master projects a software environment was developed to examine reinforcement learning algorithms on existing dynamic models from Modelica in order to solve control tasks. Modelica is a non-proprietary, […]
By Oliver Dürr (ZHAW) Reposted from http://oduerr.github.io/blog/2016/04/06/Deep-Learning_for_lazybones In this blog I explore the possibility to use a trained CNN on one image dataset (ILSVRC) as feature extractor for another image dataset (CIFAR-10). The code using TensorFlow can be found at github. Schlagwörter: Data Science, Deep Learning, Python