Michael KissnerinTowards Data ScienceNetwork of Networks — A Neural-Symbolic Approach to Inverse-GraphicsOne of the first ideas many people have once they get acquainted with deep learning and neural networks is, “what if we make a network of…Jul 23, 20192Jul 23, 20192
Michael KissnerinTowards Data ScienceAn Easy Guide to Gauge Equivariant Convolutional NetworksGeometric deep learning is a very exciting new field, but its mathematics is slowly drifting into the territory of algebraic topology and…May 24, 201910May 24, 201910
Michael KissnerWriting down the weights and biases of a universal Neural Network without training itRecently, well a day ago, Lee et al. uploaded a paper that talks about the learning dynamics of wide Neural Networks (NN), which sparked a…Feb 20, 2019Feb 20, 2019