Courses 1 & 2 of @deeplearningai_‘s newest Specialization is now available on @Coursera! Training a model is only one step in building a working AI system. These courses teach you how to navigate some key deployment scenarios. Enroll here: https://t.co/iVWrTi8QGD pic.twitter.com/ifzwCpFbUK
— Andrew Ng (@AndrewYNg) December 11, 2019
The v3 of the course (part 1) is now fully ported to fastai v2 (and by ported, it's not just the code runs but the results match or exceed the ones from the version on fastai v1). All notebooks are here: https://t.co/o9uMb19Pel
— Sylvain Gugger (@GuggerSylvain) December 11, 2019
OpenCV Vehicle Detection, Tracking, and Speed Estimation via @pyimagesearch https://t.co/klkCIWT38K #python #opencv #iot #raspberrypi pic.twitter.com/kMTBz8qZnM
— Python Weekly (@PythonWeekly) December 11, 2019
The next Kaggle reading group paper is "On NMT Search Errors and Model Errors: Cat Got Your Tongue?" by Stahlber & Byrne @emnlp2019. (@mgalle tweeted about it a while ago and it's been on my list ever since.)
— Rachael Tatman (@rctatman) December 11, 2019
Come join in tomorrow @ 9:00 AM Pacific! 😊🔖https://t.co/jYHYcXyhd5
"A Beginner's Guide to the Mathematics of Neural Networks"
— Andrew Trask (@iamtrask) December 11, 2019
... a nice gem 🙂
And *very* cool illustrations !!!#100DaysOfMLCodehttps://t.co/9G1K2yyKRA pic.twitter.com/cAAI8ykMyU
If you are submitting machine learning preprints to arXiv, Jim wrote a helpful categorization guide that we'd appreciate you read: https://t.co/tp5LqJ0r9y We often see up to 250 new ML papers each day!, and we'd appreciate your effort in keeping the moderation process manageable!
— Sebastian Raschka (@rasbt) December 10, 2019
In case you need to teach distributed DL training, here's a quick summary of different synchronization strategies (tree and ring sync, NVLink, Horovod, etc.). https://t.co/M3ugCzhXOy
— Alex Smola (@smolix) December 10, 2019
Slides available at https://t.co/F87vYiahOd
— Oriol Vinyals (@OriolVinyalsML) December 9, 2019
This week's excitement and adventure in Machine Learning: #NeurIPS2019! 🎉 Talks & slides are live and being posted online https://t.co/SSpuVWe2NQ
— Andrej Karpathy (@karpathy) December 9, 2019
TF 2.1 is coming soon (RC0 out now), with extended TPU support: https://t.co/aqv7xTB2Bu (via @martin_gorner)
— François Chollet (@fchollet) December 6, 2019
Over the past 5 months we’ve been experimenting how to steer a mammoth without training it.
— Rosanne Liu (@savvyRL) December 5, 2019
Here is how.https://t.co/Bae0RIeSlZ
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 [68pp]https://t.co/QKrAQJolhE pic.twitter.com/moPbkqfqzq
— ML Review (@ml_review) December 4, 2019
