9 Deep Learning for Generative Models: GANs and VAEs (MLVU2020)
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Today we discuss neural networks that can generate things that are similar to the data they were fed: generative models. We start out with a discussion of how to define a generator neural network, and why we can’t train them in a straightforward way. Then we discuss two training approaches: generative adversarial networks and (variational) autoencoders.
For the variational autoencoder, we der
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