Compare Neural Network
Neural Network vs Decision Tree
Neural Network
Neural Network (Multi-Layer Perceptron, MLP) is an algorithm inspired by biological neural networks. The MLP consists of connected graph of processing units that mimic the neurons. The connections between neurons are so-called weights. Their values are selected during the training process. The training goal is to minimize the error between values predicted by MLP and true values.
Reference
Hinton, Geoffrey E., Connectionist learning procedures, Artificial intelligence, vol.40, pp.185-234, 1989
License
License for Scikit-Learn implementation of Neural Network: New BSD License
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