Deep Learning

22 articles · Latest March 25, 2025

eScience Editorial Team·Mar 25, 2025

Introduction to Deep Learning with Python

Written by Sven van der Burg, Carsten Schnober, Sarah M. Brown and Toby Hodges Engineers and instructors at the eScience Center have developed lots of open source lesson materials...

Carsten Schnober·Jan 28, 2025

A Different Game

3 According to a panel of football experts, the world's best male player of the year 2024 was Rodri. The choice is naturally debatable, but even if you put him together with other...

Florian Huber·Jun 26, 2023

Mcfly: An easy-to-use tool for deep learning for time series classification

A new mcfly 3.0 release is out. See how it works and how it can help you to apply deep learning to time series classification. Florian Huber·Apr 15, 2020 Once the models are genera...

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Eva Viviani·Dec 19, 2022

Ceci n’est pas une peinture — making art with AI

Over time, the model ultimately learns how to discriminate between these two groups (Van Gogh vs. other) and outputs the probability that a new observation belongs to the Van Gogh’...

Sonja Georgievska·Dec 16, 2022

Small-scale initiative in Machine Learning 2021: how did it go?

Photo by "My Life Through A Lens" on Unsplash Small-scale initiative in Machine Learning 2021: how did it go? Introducing a series of blog posts on our collaborative projects in m...

Florian Huber·Jul 22, 2022

Mimicking Intelligence: AI imitation crisis

The next generation language models will still just be enormeous parrot-systems that imitate intelligent behavior. But they will feel like much more to us. Florian Huber·Jun 24, 20...

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Sonja Georgievska·May 13, 2022

Reusable software in the era of AI: why sometimes you must reinvent the wheel

> In traditional software development, reinventing the wheel is a cardinal sin. But AI has changed the picture. In AI-based software development the traditional reusable components...

Elena Ranguelova·Mar 21, 2022

How to find your Artificial Intelligence explainer

Here, we will use the LRP method to illustrate the principle of determining which features in an input contribute most strongly to the output of a trained DNN model. In this exampl...

eScience Editorial Team·Mar 11, 2022

Parsing Hebrew and Syriac morphology using Deep Learning

State-of-the-art technology meets ancient literature This blog is part of our blog series: The Small-Scale Initiative on Machine Learning, how did it go?, where groups who were inv...

Florian Huber·Sep 1, 2020

Machine learning for research — use it or refuse it? Two flowcharts to help you decide.

Machine learning (in particular deep learning) started to become extremely hot 5–10 years ago. Now, this trend has fully reached most academic fields outside computer science as we...

Sonja Georgievska·Jun 18, 2020

Machine learning: when it is easy & when it is difficult

Hey, should I draw a wild curve that splits all points exactly? But how am I sure that the curve will split properly all new points that I haven’t seen, that it will not over-fit o...

Sonja Georgievska·Apr 25, 2020

Forcing science with brute force deep learning

When we are children, we lack patience. When we grow up, “we lack time”. Not all is bad, of course. Once trained, the deep neural networks are very fast when used for prediction. H...

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Florian Huber·Feb 11, 2020

Workshop Machine Learning for Research 2020

For one full week we worked with 6 research teams from different disciplines to explore if and how machine learning could help them answer their research question(s). Here is a bri...

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Florian Huber·Feb 11, 2020

Workshop Machine Learning for Research 2020 … did it work?

Evaluating our one-week hands-on workshop on applying machine learning to research. 5 Stimulate diverse teams and be aware of (gender-)biases.We wanted to attract diverse teams and...

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Florian Huber·Feb 7, 2020

Monopolizing AI

The field of machine learning and AI is facing an increasing divide. Florian Huber·Feb 4, 2020 16 Last edit: 07/02/2020 It seems contradictory at first. On the one hand, deep learn...

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Florian Huber·Sep 24, 2019

Highlights from the European Conference on Machine Learning 2019

ML highlights and trends as seen at ECML-PKDD 2019 (16–20 September, Würzburg, Germany) The conference’s cryptic name is due to the fact that it is a merger of two conferences: the...

eScience Editorial Team·Jul 18, 2019

Using deep neural networks to understand molecular interactions

Photography: Michiel Wijnbergh | wijnbergh.nl Dr. Lars Ridder, Prof. Alexandre Bonvin, Dr. Nicolas Renaud, Dr. Li Xue, Dr. Sonja Georgievska The human body contains trillions of ce...

Sonja Georgievska·Jun 20, 2019

turning a panda into a cat!

Why adversarial examples are not scary…but are most likely useful “Is it a bird? Is it a plane?” A child who never saw Superman might mistake him for a bird or a plane. On the othe...

Florian Huber·Jun 14, 2019

big questions — small data.

At the eScience Center our mission is to “digitally enhance science”. How to do this other than by the biggest tech-superpowers of our time: super-computing, big-data, and of cours...

Sonja Georgievska·Jun 12, 2019

explainable ai exit or infinite loop

> Let us simplify before we try to explain Photo by Franck V. on Unsplash Before we start, let’s make it clear: by AI here I mean computational statistics, and by explainable — wel...

eScience Editorial Team·Oct 18, 2017

teaching machines to recognize cancer

Jeroen de Ridder, Associate Professor at the University Medical Center Utrecht Photography: Elodie Burrillon | http://hucopix.com Jeroen de Ridder is Associate Professor at the Un...

Dafne van Kuppevelt·Mar 20, 2017

mcfly time series classification made easy

A deep learning approach for time series Deep learning is hot. It is the state-of-the-art method for object recognition in images and video, and was an important component of the A...

Deep Learning

Introduction to Deep Learning with Python

A Different Game

Mcfly: An easy-to-use tool for deep learning for time series classification

Ceci n’est pas une peinture — making art with AI

Small-scale initiative in Machine Learning 2021: how did it go?

Mimicking Intelligence: AI imitation crisis

Reusable software in the era of AI: why sometimes you must reinvent the wheel

How to find your Artificial Intelligence explainer

Parsing Hebrew and Syriac morphology using Deep Learning

Machine learning for research — use it or refuse it? Two flowcharts to help you decide.

Machine learning: when it is easy &amp; when it is difficult

Forcing science with brute force deep learning

Workshop Machine Learning for Research 2020

Workshop Machine Learning for Research 2020 … did it work?

Monopolizing AI

Highlights from the European Conference on Machine Learning 2019

Using deep neural networks to understand molecular interactions

turning a panda into a cat!

big questions — small data.

explainable ai exit or infinite loop

teaching machines to recognize cancer

mcfly time series classification made easy

Machine learning: when it is easy & when it is difficult