Threshold Functions in Neural Networks

This lecture covers the concept of threshold functions in neural networks, explaining how to classify data points based on positive and negative values, as well as the implications of different threshold function choices in one-dimensional and multi-dimensional cases. The instructor demonstrates the calculation of the threshold value for various scenarios and provides a general equation to describe the process.