annamaneni sriharsha

RT @MikeTamir: A Feature Selection Tool for Machine Learning in Python https://t.co/C0JkeUjTuP #AI #DeepLearning #MachineLearning #DataScie…

RT @AndrewYNg: The new UN Climate report shows our planet is nearing crisis. While individuals tweaking their carbon footprint is a good st…

RT @haipinglu: "How to write a great/any research paper" slides in PDF https://t.co/q10dR5b0qI by @NandoDF, Ulrich Paquet and @sgouws, @De…

RT @StatMLPapers: A Unified Analysis of Stochastic Momentum Methods for Deep Learning. (arXiv:1808.10396v1 [cs.LG]) https://t.co/IxdKhV5UP7

RT @MelMitchell1: After watching this great talk by Percy Liang, I wondered if anyone is using GANs to try to generate test examples that a…

RT @yaroslavvb: Notes on optimization-related papers from @icmlconf last week https://t.co/oZpN8VFQID

RT @karpathy: most common neural net mistakes: 1) you didn't try to overfit a single batch first. 2) you forgot to toggle train/eval mode f…

@RanjayKrishna @Stanford Will be the lecture be available online later

@sytelus @DmitryUlyanovML Doesn't pytorch's nn.DataParallel take care of that?

@ngutten Thanks for the explanation :)

RT @slashML: Anyone having trouble reading a particular paper? Post it here and we'll help figure out any parts you are stuck on. https://t…

RT @AlfredoCanziani: Very pretty notes by @TessFerrandez. Check them out! https://t.co/4jtbOKuHhX

RT @MSFTResearch: One of the main challenges for #AI remains unsupervised learning, at which humans are much better than machines. Yoshua B…

RT @michael_at_work: Bayesian optimisation, how to implement the basics yourself, some tricks of the trade, and introduce the scikit-optimi…

RT @jeremyphoward: Really thrilled to be able to release today, with @the_antlr_guy (who did all the work): The Matrix Calculus You Need Fo…