We looked inside some of the tweets by @kuppa_1993 and here's what we found interesting.
Inside 100 Tweets
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Using a single network architecture and fixed set of hyper-parameters, Recurrent Replay Distributed DQN quadruples prev SoTA on Atari-57, and matches SoTA on DMLab-30. It is the first agent to exceed human-level performance in 52 of the 57 Atari games. https://openreview.net/forum?id=r1lyTjAqYX …
Neural motor primitives learnt from diverse motion-captured behaviours enable one shot imitation and reuse of naturalistic motor skills. - Paper: https://arxiv.org/abs/1811.11711 - Video: https://www.youtube.com/watch?v=1NAHsrrH2t0&feature=youtu.be …
#DeepLearning Is Obviously Great... but It's Not The Future of Artificial Intelligence... 👉Discover The Major Hurdles Facing Deep Learning https://buff.ly/2KNTKXS @GaryMarcus v/ @arxiv #AI #DataScience Cc @evankirstel @DeepLearn007 @KirkDBorne @ahier @SpirosMargaris @JimMarous
Tutorials — #DataScience Simplified, in 11 parts: Regression, Classification, Model Selection, Validation, Generalization, Overfitting, Bias-Variance trade-off, Confusion Matrix, etc. https://bit.ly/2F0hlpb #abdsc #BigData #MachineLearning #Statistics #Algorithms #DataScientists
Carnegie Mellon’s Andrew Moore to join Google Cloud as new head of #AI: https://www.geekwire.com/2018/carnegie-mellons-andrew-moore-join-google-cloud-new-head-ai-later-year/ … See his comprehensive collection of #MachineLearning tutorials (w/ #Mathematics basis for #Algorithms) https://bit.ly/yeyp2h #abdsc #BigData #DataScience #DataMining #DataScientists
Deep Learning is getting really good on Big Data/millions of images. But Small Data is important too. Am seeing many exciting applications at Landing AI where you can get good results w/100 images. Hope more researchers work on Small Data--ML needs more innovations there.