Charlie Maalouf, Image Similarity and Transfer Learning

image similarity is a topic at ! SF Bay Area Machine Learning Image classification is a key component of many real-world applications, from visual search to face detection. Unfortunately, many image datasets do not have labels, making them harder to be used in supervised learning tasks. In this presentation, I will leverage deep features that were extracted during the “Image similarity and transfer learning in real-world applications“ talk by Rajat Arya, as well as clustering and graph a
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