Artist identification of fine art paintings is a challenging problem primarily handled by art historians with extensive training and expertise. Many previous works have explored this problem by explicitly defining classification features. We aim to train a Convolutional Neural Networks (CNNs) with the goal of identifying the artist of a painting as accurately and precisely as possible. Additionally, we intend to perform multiple experiments to explore and understand the learned representation of our networks.
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