Artificial Neural Network (ANN)
An artificial neural network is a machine learning model made of interconnected units (neurons) arranged in layers, loosely inspired by the brain, that learns by adjusting the strength of the connections between units.
What is Artificial Neural Network (ANN)?
Each neuron takes weighted inputs, adds them up, applies an activation function and passes the result on. An input layer receives data, one or more hidden layers transform it and an output layer produces a prediction. The connection weights are the learned parameters of the network.
How it works
During training the network's predictions are compared with the correct answers and the error is used to update the weights, gradually improving accuracy.
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