Is K Means Generative Or Discriminative?

Is K Means Generative Or Discriminative? It is generally acknowledged that discriminative objective functions (e.g., those based on the mutual information or the KL divergence) are more flexible than generative approaches (e.g., K-means) in the sense that they make fewer assumptions about the data distributions and, typically, yield much better unsupervised … What are generative

What Are GANs Good For?

What Are GANs Good For? Over a few years, applications of the Generative Adversarial Networks (GANs) have seen astounding growth. The technique has been successfully used for high-fidelity natural image synthesis, data augmentation tasks, improving image compressions, and more. What is the point GANs? GANs are an exciting and rapidly changing field, delivering on the