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Makale: Emergence of Object-Selective Features in Unsupervised Feature Learning

We introduce an unsupervised feature learning algorithm that is trained explicitly with k-means for simple cells and a form of agglomerative clustering for complex cells. When trained on a large dataset of YouTube frames, the algorithm automatically discovers semantic concepts, such as faces.

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NVIDIA Deep Learning Institute Sertifikalı eğitmen.

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