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About CS7015 (Deep Learning) : Lecture 18
The document discusses using joint probability distributions for classification and sampling. It provides an example of modeling a movie critic's reviews using a joint distribution over the words in each review. Each of the 5 words in a review is treated as a random variable that can take on one of 50 values from the critic's vocabulary. The joint distribution of all words can be factorized based on the assumption that each word only depends on the previous two words. This allows modeling probabilities like P(Xi = time | Xi-2 = waste, Xi-1 = of).
Detailed Information
| Author: | ['Selvi Selvan'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 298 |
| Language: | English |
| Format: | |
| Price: | FREE |
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