A neural network gets a set of inputs in the form of numbers. These numbers are used to calculate the numbers in the next layer of the network. The determining factors are the structure, weights and biases. The structure means which input numbers affect which nodes in the second layer. The weights and biases are unique for each node and they have a great influence on how the input numbers gets transformed into layer 2 numbers. The network can have many layers and a huge ammount of parameters and nodes.
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