The rewrite of the Advanced R functions chapter is now complete: https://t.co/PqNwrMw7sh. Please take a look! #rstats
— Hadley Wickham (@hadleywickham) June 28, 2018
The rewrite of the Advanced R functions chapter is now complete: https://t.co/PqNwrMw7sh. Please take a look! #rstats
— Hadley Wickham (@hadleywickham) June 28, 2018
@observablehq notebook on backpropagation and automatic differentiation. Just 20 lines of javascript - without AI framework. https://t.co/TAxFUpWePa
— Steven De Keninck (@enkimute) June 28, 2018
Just discovered Terence Parr's website, amazing content.
— DataOptimal (@DataOptimal) June 28, 2018
I'm working my way through "The Matrix Calculus You Need For #DeepLearning" awesome stuff, be sure to check it out.
Big thanks to @the_antlr_guy for the article!https://t.co/e3BejrI17U pic.twitter.com/UA9q1EoNA7
The Illustrated Transformerhttps://t.co/t8neQG650S
— Jay Alammar جهاد العمار (@jalammar) June 27, 2018
New blog post visually explaining the model from "Attention is All You Need". It achieved state-of-the-art in some machine translation tasks in 2017. It is also the reference model for coding for Google's Cloud TPUs. pic.twitter.com/PjeCyKwZRU
This NMT with attention colab notebook is one of the cleanest and best documented TF examples I’ve seen: https://t.co/eUzJ4aSthD
— Denny Britz (@dennybritz) June 26, 2018
🤖 feat. @h2oai, caret + more…
— Mara Averick (@dataandme) June 26, 2018
"Using Machine Learning w/ LIME To Understand Employee Churn" ✏️ @bradleyboehmkehttps://t.co/cQnYato5mG via @bizScienc #rstats pic.twitter.com/ggPQuGXvbX
tf.keras programmer's guide is out! On the v1.9 docs pre-release. Highly recommended, this is a great way to develop with @TensorFlow.
— Josh Gordon (@random_forests) June 25, 2018
To try it out you'll need to install the rc: pip install --pre -U tensorflow==1.9.*https://t.co/mf4eZxngxi
😻 w/ R code!
— Mara Averick (@dataandme) June 25, 2018
“Recreating (more) data visualizations from [ @davidmccandless'] ‘Knowledge is Beautiful” ✍️ @MattOldachhttps://t.co/gIk8ObOvFA #rstats #dataviz pic.twitter.com/z1AnrqxnaV
I just published a tutorial on how to train a LSTM network with @HelloPaperspace and sample the resulting model in @ml5js. More tutorials soon! (hint: style transfer and pix2pix)https://t.co/PecQBb51EC
— Cris Valenzuela (@c_valenzuelab) June 25, 2018
tableGrob()/grid.table() in gridExtra is a phenomenal way to add summary stats to ggplot-based plots in #rstats. It's super easy to do, too, with annotation_custom() pic.twitter.com/Jqk5rEjZiq
— Andrew Heiss (@andrewheiss) June 25, 2018
Deep learning for time series forecasting: Predicting sunspot frequency with Keras: https://t.co/qC7fXFp7wR #rstats #rkeras pic.twitter.com/k1z3vI8wOu
— RStudio (@rstudio) June 25, 2018
"On Intrinsic Rewards & Continual Learning," Satinder Singh: https://t.co/HB4eEyHyTb
— Miles Brundage (@Miles_Brundage) June 25, 2018