part1: introduction to reproducing kernel hilbert space.

an introduction to kernel embedding in reproducing kernel hilbert space.deep learning in comparison to kernel methods is too weak for scalable machine learning problems.in mathematics we don't need neurons , we only need functions spaces.

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Hilbert has Norm expressed as Inner products.