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Deep Learning and more specifically Convolutional Neural Networks (CNNs) are methods that have recently seen a resurgence in popularity and have largely contributed to the advances in problems as diverse as:

image classification, segmentation and comparison, objects and persons (e.g. faces) detection and recognition, video analysis, detection of anomalies, super-resolution and even analysis of style in images, among a multitude of others.

 

Note: The majority of the courses will be given in English

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