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Explainability in reinforcement learning: perspective and position
Most articles dealing with explainability in artificial intelligence provide methods that concern supervised learning and there are very few articles dealing with this in the area of RL.
Fine-tuning Convolutional Neural Networks for fine art classification
Motivated by the successful performance of Convolutional Neural Networks (CNN) for a wide variety of computer vision tasks, in this paper we explore their applicability for art-related image classification tasks.
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