Neural Networks

17 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...

Nicolas Renaud·Dec 6, 2023

Machine Learning Machinery for Quantum Chemistry

Machine learning techniques are impacting all areas of science, and molecular simulations are not spared. This blog post shows how to make use of the tools and techniques developed...

Aron·Apr 13, 2023

Molecular Simulations using Machine Learning, Part 2

In this post, I will walk through the process of designing a model used in molecular simulations, from essential to state of the art. This is the second part of a series on using m...

eScience Editorial Team·Jun 13, 2022

Studying political symbolism in Turkish TV dramas with machine learning

Studying political symbolism in Turkish TV dramas with machine learning eScience Editorial Team·Jun 10, 2022 Faced with a challenge of this type, Machine Learning can come to the r...

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eScience Editorial Team·May 23, 2022

The mystery of glass: why machine learning can help us

This blog is part of our blog series: The Small-Scale Initiative on Machine Learning, how did it go?, where groups who were invited to participate in a project with eScience Center...

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...

eScience Editorial Team·Apr 22, 2022

Using machine learning to tell apart rain, snow, hail and fog from cell tower data

Using machine learning to tell apart rain, snow, hail and fog from cell tower data eScience Editorial Team·Apr 21, 2022 Next, we explored whether CMLs can be used to detect fog. Fo...

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eScience Editorial Team·Mar 11, 2022

How to find your rubber duck: Using machine learning to understand a changing sea

To get a quick start, they applied for the eScience Center Small-Scale Initiative (SSI), and were awarded consultancy on their project titled “Machine Learning for the complex resp...

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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Netherlands eScience Center·Apr 2, 2020

Can we teach AI’s speech by simulating young children’s ability to learn spoken language?

8 Today, we can´t imagine life without voice controlled intelligent systems such as Siri, Google Assistant, car navigation systems and other applications. Such systems use a speech...

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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eScience Editorial Team·Dec 9, 2019

Managing the crowd: a big data approach

Crowd disasters have taken many lives. The Love Parade disaster (Duisburg, 2010), the Ellis Park Stadium disaster (Johannesburg, 2001), the PhilSports Stadium stampede (Manila, 200...

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...

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...

Neural Networks

Introduction to Deep Learning with Python

Machine Learning Machinery for Quantum Chemistry

Molecular Simulations using Machine Learning, Part 2

Studying political symbolism in Turkish TV dramas with machine learning

The mystery of glass: why machine learning can help us

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

Using machine learning to tell apart rain, snow, hail and fog from cell tower data

How to find your rubber duck: Using machine learning to understand a changing sea

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

Forcing science with brute force deep learning

Can we teach AI’s speech by simulating young children’s ability to learn spoken language?

Workshop Machine Learning for Research 2020

Managing the crowd: a big data approach

turning a panda into a cat!

big questions — small data.

explainable ai exit or infinite loop

mcfly time series classification made easy

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