Original Post

I think scalability of Hilbert's 13th problem in the form of a neural network or sum of products function of many, many, really many variables! We will be finally able to curve-fit ANY arbitrary multivariate function. I honestly am very impressed that Q-learning combined with deep convolutional and recursive networks DOES WORK at all, because it's a pure magic, given that classical neural networks do not scale. The methods for Monte Carlo, used in deep reinforcement learning, allowing deep Markov chains to represent and model real systems without introducing huge piece-wise discontinuities and phase space transition chaotic attractor bifurcations, are FASCINATING. I swear, I do not understand why these methods should even work in theory.

Now simply imagine, what can we do with QUANTUM machine learning!!!! <3 <3 <3

#machinelearning #neuralnetworks #scalability