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blog.otoro.net | ||
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blog.miguelgrinberg.com
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| | | | | miguelgrinberg.com | |
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erikbern.com
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| | | | | I've been spending quite some time lately playing around with RNN's for collaborative filtering. RNN's are models that predict a sequence of something. The beauty is that this something can be anything really - as long as you can design an output gate with a proper loss function, you can model essentially anything. | |
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jxmo.io
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| | | | | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents. | |
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proceedings.neurips.cc
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