How does the threshold function determine the output of the perceptron?
Reinforcement Learning and Deep RL Python Theory and Projects - Perceptron Exercise
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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.
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What should be the value of N for the perceptron to always output 1?
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