UCL NEUR0016: One layer backprop demo [WIP]

Demonstration of a 1-layer back-propagation network Below is a demonstration of a simple one-layer back-propagation network that learns to classify a set of patterns. The network consists of an input layer with 20 units laid out in a 4 by 5 grid, and 4 output units. Each output unit receives connections from the whole input grid. Hence, the weights on the connections from the input layer to each…