Neural Networks and Deep Learning

Neural networks are used in machine learning algorithms to do the actual classification. Each layer has several neurons, and each of them processes a fragment of the input data, starting at the input layer, which splits apart the input data into chunks in an application-defined way. Each layer of the hidden layers processes each chunk to make an output which is eventually transmitted to the output layer. Actually, a neuron's computation is very simple. It takes a numerical input, multiplies it by a weight value, and then passes it as an output to a neuron at the next layer.