Machine Learning

A framework for thinking about neural networks, and supervised machine learning.

Deriving the mathematics behind backpropagation.

Overview and introduction to feed forward neural networks. Forward propagation is discussed in detail, and we see how we might train a network.

Hvorledes kan brugen af neurale netværk styrke og effektivisere klassifikation af Higgs partiklens eksistens?

A collection of commonly used machine learning terms, and what they mean.

We examine Google's open source library Tensorflow, and go through its components to understand how it can be used to create scalable machine learning models.