Classic Paper Day 1: Deep Learning Review

Classic paper day is an alternative to a seminar presentation. We provide a pdf link to a classic paper that ties into something HTC is interested in.

Many of the recent posts have been discussing small pieces of a much bigger puzzle, putting together an infrastructure for training and then deploying custom deep learning neural networks. We're hoping to make it as easy to do as possible for our members.

This paper came out when the current deep learning neural network revival really kicked into gear. It's jointly written by the holy trinity of neural network research. It's a review paper published in Nature, so it was considered very significant to end up there.

You can access the Deep Learning review paper here.


Popular posts from this blog

Simulating the Universe with Machine Learning

CycleGAN: a GAN architecture for learning unpaired image to image transformations

Pix2Pix: a GAN architecture for image to image transformation