A Visual Introduction to Neural Networks
Shikhar Sharma

Thanks Shikhar, for the great explanations. I have tinkered with the Tensorflow Playground but it is great to get a more methodical approach described. I wonder though, if it would be good to draw a distinction between using kernel tricks like Gaussian RBF kernel PCA to solve concentric circles and swiss roll data sets, so we realize something more about the differences in approach between these and neural networks, and not get the impression that we are stuck with linear regression solutions only in standard machine learning?

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