This post briefly covers backpropagation for a convolutional neural network, derived in the context of work on the second assignment for the Winter 2016 iteration of the Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.

This post covers the backpropagation derivation for an affine layer in a basic fully-connected neural network, as part of work on the second assignment for the Winter 2016 iteration of the Stanford class CS231n: Convolutional Neural Networks for Visual Recognition.

This post gives an outline of the algorithm used to construct an Apollonian gaskel fractal. The full implementation of this Apollonian gasket algorithm and visualisation in C++ is available here.