by Carmel Eve
Machine learning often seems like a black box. This post walks through what’s actually happening under the covers, in an attempt to de-mystify the process!
Neural networks are built up of neurons. In a shallow neural network we have an input layer, a “hidden” layer of neurons, and an output layer. For deep learning, there is simply more hidden layers which allows for combining neuron’s inputs and outputs to build up a more detailed picture.
If you have an interest in Machine Learning and what is really happening, definitely give this a read (WARNING: Some algebra ahead…)!