Training a probit model is the process of using training data with known input and correct output values to find good values for the model weights and the bias. There are several ways to train a ...

To recap, to use the demo program as a template, after you normalize and encode your source data, the number of input and output nodes is determined by the data. You must experiment with the number of ...