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This document outlines the plan for a seminar on kernel methods. The seminar will cover four main topics: kernel methods, random projections, deep learning, and more about kernels. The overall goal is to provide enough theoretical background to understand several related papers on convolutional kernel networks, fastfood kernel approximations, and deep fried convolutional neural networks. The document includes an agenda, definitions, theorems, and references to support understanding kernel methods and their applications. - Download as a PDF, PPTX or view online for free

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