Generative Adversarial Networks

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Earlier videos:

References and further reading:

Deep Learning by Ian Goodfellow:

Generative Adversarial Nets:

Progressive Growing of GANs for Improved Quality, Stability, and Variation (Generating Celebrities):

Generative Adversarial Text to Image Synthesis:

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN):

#deeplearning #machinelearning

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Great video series!
How does a generator network look like? I have read that you have to use fractional stride convolutions, but I can't find any good explanation on how such convolutions are done.

DerIntergalaktische

Great video again. I'm new to AI and sorry for my naive question, but I don't really get the moment you talk about feedforward CNN. I thought that in a feedforward model like perceptrons, there was no backpropagation instead in CNN or recurrent NN there was. Or convolutional does it only mean what u explained in yr video on this topic, i.e. a*b ? I feel I am missing sthg and I'm messing too so XD Anyway thanx again for your videos, already shared on my fb account, as others said it u deserve a much larger audience ;)

geogeo

Informative and interesting.... Thank you :)

sangarshanan

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