Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Perceptron Exercise

Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Perceptron Exercise

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial explains the computation of a perceptron, focusing on feature and weight values. It describes how to calculate the perceptron output using a threshold function. The exercise challenges viewers to determine the number of features needed for the perceptron to output a value of 1.

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2 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the step function used in this perceptron exercise.

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you determine the value of N such that the perceptron always outputs 1?

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