Neural Networks

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

Using neural networks to detect elementary particles.

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.

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

A practical application of convolutional neural networks.

A post mortem analysis of a Data Science approach for determining the existence and decay patterns of the Higgs boson.