Your 100% up-to-date guide to transfer learning & fine-tuning with Keras: https://t.co/iM7fnZEHNA
— François Chollet (@fchollet) April 19, 2020
Batch normalization involves many gotchas you need to be aware of.
Your 100% up-to-date guide to transfer learning & fine-tuning with Keras: https://t.co/iM7fnZEHNA
— François Chollet (@fchollet) April 19, 2020
Batch normalization involves many gotchas you need to be aware of.
Pandas is a swiss army knife for working with data!
— Ben Hamner (@benhamner) April 17, 2020
This @kaggle notebook highlights 100 tricks https://t.co/b7d0H28EGB
This fun project makes me think that in the distant future, we can go to the computer history museum and look back at this thing called Deep Learning that had been so popular back then https://t.co/HOK3mEvE5H pic.twitter.com/xNVwaXoujI
— hardmaru (@hardmaru) April 15, 2020
The next big thing in #AI is #Privacy
— Andrew Trask (@iamtrask) April 15, 2020
Why?
Solving privacy means 1000x more data in *every* subject where data is valuable/personal
More data -> AI Booms
Ex:
- GAN
- GPU
- Deep RL (simulation)
- ImageNet
- etc
Details: https://t.co/96nFf70Ct4#100DaysofMLCode #100DaysOfCode
🎉New blog post!
— Rebecca Barter (@rlbarter) April 14, 2020
Tidymodels: tidy machine learning in Rhttps://t.co/hDxb0gzMyi
A concise introduction to machine learning in R using the new(ish) tidymodels pipeline (essentially caret's successor). Thanks to @topepos and team!#rstats #machinelearning
Conditional Probability https://t.co/eZ2bbpDzwV pic.twitter.com/rzU7ntPWRK
— Chris Albon (@chrisalbon) April 13, 2020
An In-depth Walkthrough on Evolution of Neural Machine Translation: https://t.co/FwVesyZ7Wb
— Denny Britz (@dennybritz) April 13, 2020
This paper looks like a nice overview that summarizes the NMT progress over the past few years. pic.twitter.com/3QmtwzPTNV
Anyone concerned with inferring causes from effects as well as predicting individual behavior from group data has probably stumbled on the questions raised in this blog entryhttps://t.co/yJrfGcf2g1, and would surely benefit from the answers provided by Carlos Cinelli.
— Judea Pearl (@yudapearl) April 13, 2020
Just refreshed the "intro to Keras for researchers" notebook. It features a hypernetwork example and a VAE example. ~15 min read. Check it out: https://t.co/5Yoe4c7YaM
— François Chollet (@fchollet) April 12, 2020
Now writing an "intro to Keras for engineers" notebook. It looks *very* different :)
Wow, I've never succeeded to explain the concept of gghighlight this well... Thanks so much @allison_horst!!!👍👍👍 https://t.co/ounv6K0X5f
— Hiroaki Yutani (@yutannihilat_en) April 11, 2020
Missed the live presentation of @nvidia Kaggle Team (KGMON) yesterday? Here is the recording that you can go over at your leisure:https://t.co/qtuDU9nL8o@JFPuget @ChrisDeotte @DmitryLarko @heads0rtai1s @kagglingdieter @a_erdem4 @Giba1 @0verfit @JiweiLiu
— Bojan Tunguz (@tunguz) April 10, 2020
In InceptionV1, Black & White detectors detect the absence of color. They're implemented by having many color features inhibit them.https://t.co/SfipSEusth pic.twitter.com/omF13kkJe1
— Chris Olah (@ch402) April 10, 2020