Deep learning has become a very popular approach for solving computer vision problems in recent years. In this talk Sander will demonstrate how this approach can be applied in practice. He will show how their team of 7 built a model for the automated classification of plankton based on convolutional neural networks. Using this model, they placed 1st in the National Data Science Bowl competition on Kaggle.
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Classifying Plankton with Deep Neural Networks
Sander Dieleman is a research scientist at Google DeepMind and a PhD student in the Reservoir Lab at Ghent University in Belgium. The main focus of his PhD research is applying deep learning and feature learning techniques to music information retrieval (MIR) problems, such as audio-based music classification, automatic tagging and music recommendation.