SVM and Neural Network

Question

What is difference between SVM and Neural Network? Is it true that linear svm is same NN, and for non-linear separable problems, NN uses adding hidden layers and SVM uses changi

Answer 1

SVMs and NNs have the same building block as perceptrons, but SVMs also uses a kernel trick to raise dimension from say 2 to 3d by translation such as Y = (x1,2,..^2, y1,2...^2) which can separate linearly inseparable plains using a straight line. Want a demo like it and ask me :)