Machine Learning and Deep Learning

The idea of an artificial neuron is rather vague. In a CPU, a logic device is created using transistors – if the neural network was'fixed' or'hard-wired' this might also be possible, but generally the point of using a neural network is to use a'learning capability'. This means that a single neuron's response to inputs must be able to change as it learns. This is generally called the'weighting' of a neuron where it puts emphasis on different inputs to generate the desired output. This is more easily achieved in software than hardware, so neurons are usually a mathematical function to relate inputs to outputs.