An interactive map of humanity's origin myths — from every civilization, and how they connect to each other.
Go get lost in it: https://t.co/8mRAVpMn4p
@eliebakouch Among other things, I see peri-layernorm ( or sandwich layer norm) being a common strategy among recent models. I have seen it to have low variance growth which makes it good for models.
Spent a few hours digging into RMSNorm. The magic isn't the forward rescaling, it's the backward gradient coupling across channelsforcing gradients orthogonal to x.
Detach the denominator → training collapses. That's why point-wise norms are suboptimal.
https://t.co/YD5O86DaOP
If you've got time to kill, here is a simple DDPG implementation in TensorFlow 2 from scratch without any bulky library overhead. #ReinforcementLearning#DeepLearning#DDPG
https://t.co/mDNtJseL9H
@hardmaru I wonder if it's recycling the same ideas from causal set theory and tensor networks or if it's completely different. Will give it read this weekend.