Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Problem

Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Problem

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Information Technology (IT), Architecture

University

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The video tutorial introduces binary classification, using a rain prediction example to explain how probabilities are calculated for binary outcomes. It then transitions to discussing multi-class classification, using the example of identifying images as a car, bicycle, or motorbike. The tutorial highlights the differences between binary and multi-class classification and provides foundational knowledge on how to approach problems involving multiple classes.

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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