Deep Learning CNN Convolutional Neural Networks with Python - Decision Boundary in DNN Solution

The video tutorial discusses different types of boundaries used in data classification, starting with simple straight lines and progressing to more complex curves. It explains how the complexity of these boundaries is related to the number of neurons in a model, with more neurons allowing for more intricate boundary shapes. The tutorial uses images to illustrate these concepts and concludes with a quiz answer explanation.

What can be inferred about the relationship between the number of curves in a boundary and the number of neurons?

Explain why a complicated curve is associated with N greater than two.