The Key Elements of Neural Networks

(28th-January-2021)

• Neural computing requires a number of neurons, to be connected together into a neural network. Neurons are arranged in layers.

• Each neuron within the network is usually a simple processing unit which takes one or more inputs and produces an output. At each neuron, every input has an associated weight which modifies the strength of each input. The neuron simply adds together all the inputs and calculates an output to be passed on.

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• Activation functions of NN

• The activation function is generally non-linear. Linear functions are limited because the output is simply proportional to the input.