What are pretrained models and why are they useful?
— Radek Osmulski (@radekosmulski) November 22, 2018
✅overview (vision, NLP)
✅using a model for classification
✅training our own chewbacca vs yoda classifierhttps://t.co/SsdVMtsNzU
What are pretrained models and why are they useful?
— Radek Osmulski (@radekosmulski) November 22, 2018
✅overview (vision, NLP)
✅using a model for classification
✅training our own chewbacca vs yoda classifierhttps://t.co/SsdVMtsNzU
After a month of dev, I am *extremely* excited to share this step-by-step #notebook tutorial
— Trask (@iamtrask) November 22, 2018
Goal: to be the *easiest* intro to #privacy preserving, #decentralized Deep Learning
It's in @PyTorch
I hope you enjoy it#GDPR #100DaysOfMLCode #100DaysOfCodehttps://t.co/zUORRBt8aS pic.twitter.com/IjNInfKjCV
I just found out about @allen_ai's NLP Highlights podcast. Lots of interesting stuff in there! https://t.co/9ZGJyZyKb9
— Xavier🎗🤖🏃 (@xamat) November 21, 2018
Beating Fine-Grained Clothing Classification benchmark using fastai in 10 Lines of Code by @pankajmathur_ https://t.co/lc3FuoKXRZ
— Jeremy Howard (@jeremyphoward) November 21, 2018
"Building Web App for Computer Vision Model & Deploying to Production in 10 Minutes" for fastai, by @pankajmathur_ https://t.co/pDkyDxO5fE
— Jeremy Howard (@jeremyphoward) November 21, 2018
Working efficiently with JupyterLab Notebooks by @FlorianWilhelm https://t.co/kBr50fuqkv #Jupyter #Python pic.twitter.com/OBZxVhaLYD
— Python Weekly (@PythonWeekly) November 21, 2018
⭐️ well-explained code-through…
— Mara Averick (@dataandme) November 20, 2018
"Generating data to explore causal effects that can be estimated in observational data analysis" by Keith Goldfeldhttps://t.co/7rdBCH0VEX #rstats pic.twitter.com/CoUbVnEpp2
Interquartile Range https://t.co/eZ2bbpDzwV pic.twitter.com/YwqLjL1L4M
— Chris Albon (@chrisalbon) November 19, 2018
New tutorial!🚀
— Adrian Rosebrock (@PyImageSearch) November 19, 2018
Q. What's the easiest way to detect objects and predict masks in images/video?
A. Use #Python and Mask R-CNN, now part of #OpenCV!
Full tutorial w/ code here: 👉 https://t.co/9685cDC9GF 👍#DeepLearning #MachineLearning #ComputerVision #ArtificialIntelligence #AI pic.twitter.com/LcZXwT0nYi
Understanding optimization (convex and nonconvex) in #DeepLearning and other gradient descent applications : https://t.co/m3YjJ2S9EI #BigData #MachineLearning #AI #DataScience
— Kirk Borne (@KirkDBorne) November 18, 2018
For example: https://t.co/JAO62EJ0nc pic.twitter.com/kr8FkAKqTa
TF-IDF https://t.co/eZ2bbpDzwV pic.twitter.com/RFnzzZHwbD
— Chris Albon (@chrisalbon) November 16, 2018
How @UberEng uses machine learning to augment human support workers, improving the speed, accuracy, and efficiency of support as a whole. Great to see more and more examples of augmenting human systems with ML https://t.co/ez4KxfLCzG
— Ben Hamner (@benhamner) November 15, 2018