Reinforcement Learning and Deep RL Python Theory and Projects - Perceptron Exercise

The video tutorial explains the computation of a perceptron, focusing on the relationship between feature values and weight values. It describes how to calculate the perceptron output using a simple threshold function. The exercise challenges viewers to determine the number of features needed to ensure the perceptron always outputs 1. The tutorial provides a step-by-step explanation of feature and weight values, and how they contribute to the perceptron's output.

How does the threshold function determine the output of the perceptron?

What should be the value of N for the perceptron to always output 1?