Deep Point
@deeppoint_aiDeep learning crew. ML from raw data to production models.
Our paper on UMAP, a faster alternative to t-SNE, is now up on arXiv! The paper provides a more detailed account of the theoretical underpinnings of the algorithm, as well as performance benchmarks. arxiv.org/abs/1802.03426
Deep learning models are chains of differentiable blocks. Let's just call them "block chains" and start selling tokens
What would be a better metaphor for such "chains of functions"?
Woohoo! This is Google's fork of IPython notebooks w/ multiple users, remote kernels, and more goodies. Hope it merges back into Jupyter.
One of my favorite internal Google tools is now available externally colab.research.google.com
Last year WaveNet was a research project, today it launches in the @Google Assistant deepmind.com/blog/wavenet-l…
RL meets neuroscience in our new @NatureNeuro paper: the hippocampus as a predictive map deepmind.com/blog/hippocamp…
deep learning is not complex enough! medium.com/intuitionmachi…
RIP Theano groups.google.com/forum/#!topic/… I was never able to pick it up, but it was _the_ thing to use for deep learning for a good while.
A million-agent RL experiment that reveals population dynamics following population-prey equations! arxiv.org/abs/1709.04511 Super nice
How many ways to export a keras trained tenserflow model do you know?
Machine Learning applied to Computer Graphics is quite exciting IMO. PS No deep learning here! physicsforests.com
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