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 realworld 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 realworld applications talk by Rajat Arya, as well as clustering and graph a