Artificial neural network (ANN) - A series of algorithms that aims to understand the relationships in a set of data using a process inspired by the human brain, Neuron (nerve cell) - The main unit of the human brain and the nervous system which is responsible for receiving sensory data and sending commands to our muscles, Perceptron - A mathematical model of the biological neuron of the human brain; it is considered as the core processing unit of artificial neural networks, Layer - A set of neurons (perceptrons) which receive weighted inputs, transforms them with a set of functions and passes them to the next layer, Error - An indication of the difference between the expected and predicted values, Learning rate - A tuning parameter in a learning algorithm that controls the update in the values of the weights during training,

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