Neural Network Mathematics: Understanding the Mathematics of a Neuron

First conceived in the 1940s it wasnt until the early 2010s that artificial neurons showed their true potential as layered entities in the form of neural networks. When big data processing using distributed computing became mainstream the computational capacity was now available to train these neural networks on huge datasets. Knowing this is one thing but understanding how it all works is where the true potential lies. Use this course to gain an intuitive understanding of how neural networks work. Explore the mathematical operations performed by a single neuron. Recognize the potential of thousands of neurons connected together in a well-architected design. Finally implement code to mathematically perform the operations in a single layer of neurons working on batch input. When youre finished youll have a solid grasp of the mechanisms behind neural networks and the math behind neurons.