Recall that a function can be thought of as a machine which takes an input in (say x) and then depending on what that input is, it returns an output (say y) by some predefined rule (say f). The graph ...

There are a few guidelines for choosing neural network activation functions. If all input and output data is numeric, and none of the values are negative, the log-sigmoid function is a good option.

7.2 ANN Representation ANNs are taught on AI courses because of their motivation from brain studies and the fact that they are used in an AI task, namely machine learning. However, I would argue that ...

An artificial neural network models biological synapses and neurons and can be used to make predictions for complex data sets. Neural networks and their associated algorithms are among the most ...