When Should the Fire Alarm Go Off: A model for optimal thresholds
In this post I consider a model where there is a possible bad outcome, and the chance of it happening is related to something we can measure. We need to… Read more »
Category: Coding
Results for Training Neural Networks with Bayesian Linear Regression
In this post I will demonstrate results from training neural nets using approximate Bayesian updating. The algorithm is described here, the code for everything can be found here. I will… Read more »
Algorithm for Training Neural Nets with Bayesian Linear Regression
Here I propose a method for training neural networks using Bayesian updating. This method has a few advantages: Learns from just a single pass of the data Because it isn’t… Read more »