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Workshops
This is a list of my passed and future workshops.
Deep Learning in Biology
Large amounts of data and compute resources have enabled the development of high-performance machine learning models. This is particularly due to deep learning techniques. By looking at many data samples, these models can find structure in the data that is useful for predictive and explorative analysis: e.g. classification, clustering, data generation, dimensionality reduction, etc. The most popular applications within biotechnology are concerned with image segmentation, diagnostics, sequence analysis, etc. However, deep learning models are far from straightforward to implement correctly due to the many different hyperparameter settings, optimization procedures, architecture choices, etc. In this course, we will make use of Jupyter Notebook and PyTorch, which are both based on Python, to apply deep learning techniques on both bio informatics and bio image informatics data. We aim to work towards applications that participants would like to study.
Image processing for correlated and multimodal imaging techniques
The purpose of this event is to dedicate three days of intense training to an audience with little or basic expertise. The program will first cover a full day of online lectures (19 October 2020), followed by two days of hands-on training (8 & 9 March 2021, Ghent).