W04 Clip 4
Updated: November 18, 2024
Summary
In the video, it is explained that discriminative AI models classify input data into predefined categories by learning the boundary between classes. On the other hand, generative AI models generate new data instances that resemble a given dataset by learning the distribution of the data. Discriminative models focus on classification, while generative models focus on creating new data similar to the existing dataset. This distinction is crucial in understanding the different approaches AI models take in learning from data.
TABLE OF CONTENTS
Discriminative AI
Discriminative AI models classify input data into predefined categories by learning the boundary between classes.
Generative AI
Generative AI models generate new data instances that resemble a given dataset by learning the distribution of the data.
FAQ
Q: What do discriminative AI models do?
A: Discriminative AI models classify input data into predefined categories by learning the boundary between classes.
Q: What is the function of generative AI models?
A: Generative AI models generate new data instances that resemble a given dataset by learning the distribution of the data.
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