More details here:https://t.co/09Li90gCFQ
— David Page (@dcpage3) September 11, 2019
More details here:https://t.co/09Li90gCFQ
— David Page (@dcpage3) September 11, 2019
So we have given precise experimental meaning to the statement that 'internal covariate shift' limits LRs and that BN works by preventing this...
— David Page (@dcpage3) September 11, 2019
...matching the intuition of the original paper!
Recent papers have studied the Hessian of the loss for deep nets experimentally:
— David Page (@dcpage3) September 11, 2019
(@leventsagun et al) https://t.co/JNJKeqZyvZ, https://t.co/Wbk3sSbIbr
(Papyan) https://t.co/l4QcB85nir.
(@_ghorbani et al) https://t.co/VUxknF5QkM compare what happens with and without BN.
Let's get started.
— David Page (@dcpage3) September 11, 2019
What does the original paper have to say? pic.twitter.com/SUehxk58Jt
nlp - Natural Language Processing Best Practices & Examples. https://t.co/T8GUKpDsoP #Python #NLP
— Python Weekly (@PythonWeekly) September 11, 2019
slides from my NLP / AllenNLP tutorial at #OReillyAIhttps://t.co/SiaZryiO6O
— Joel Grus ♥️ 📓 (@joelgrus) September 11, 2019
some thoughts:
🌈 Fab use of {ggforce} for annotation!
— Mara Averick (@dataandme) September 11, 2019
"Built-in Colour Names in R" 👩🎨 @chisatinihttps://t.co/x6Uggh3w6Y #rstats #dataviz pic.twitter.com/WSvdJvIaoV
R Packages, 2nd edition progress report: “Getting started” chapters have gotten their first big update.
— Jenny Bryan (@JennyBryan) September 10, 2019
Check it out and see what you think 📦🤔🤓 #rstatshttps://t.co/LDQOlXZoUR pic.twitter.com/OmK0iEpkYS
Retrospectively reading solutions from the top competing teams is systematically one of the most satisfying learning part of participating in a @kaggle ML competition.
— Alexandre Cadrin (@alexandrecadrin) September 8, 2019
Here are many solutions from the recent @SIIM_Tweets/@RadiologyACR pneumothorax comp:https://t.co/VaEwlrurqG
Over the years, I've watched conditional renormalization grow from a style transfer hack to a key mechanism in recent #MachineLearning results; in this post I chart out how the idea evolved from humble beginnings into a flexible and important techniquehttps://t.co/OXCVnpaLnP
— Cody Wild (@decodyng) September 8, 2019
Let's talk A/B Testing with this talk "AB-testing by cluster" from PyData London 2019https://t.co/wN11OE0UWE#ABtesting
— PyData (@PyData) September 7, 2019
Check out this fun #machinelearning explainer blog using RAPIDS, #GPUs, and regularization regression techniques to predict #blackfriday sales. https://t.co/nN2sdoHLdy pic.twitter.com/8QnLcNKBBH
— RAPIDS AI (@rapidsai) September 6, 2019