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Discriminates between different kinds of data
instances
Trained on a labelled dataset
Used for classification or prediction
Conditional probability, P(A|B)
Example: the model takes in a dataset of cat and
dog images and it’s able to classify dogs and cats
Generates new data instances
Generates new data similar to the one it was trained on
Used to generate data
Joint probability, P(A,B)
Example: the model takes in a dataset of cat images and it
is able to generate a new cat image.
Discriminative Generative
Kinds of DL Models
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