The GELU, SiLU and SwiGLU activation functions, clearly explained!!!

There's a new activation function in town. Actually, there are a bunch of new activation functions in town. This StatQuest gives you the essential information you need at the very start, followed by a surprisingly interesting derivation of each of these new activation functions. It turns out that Dropout is all you need. Who knew?

If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join

...buying a book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
https://statquest.org/statquest-store/

...or just donating to StatQuest!
paypal: https://www.paypal.me/statquest
venmo: @JoshStarmer

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer

0:00 Awesome song and introduction
0:45 TL;DW (too long, didn't watch)
3:06 Background and why the Sigmoid and ReLU activation functions fail
9:18 How dropout improves training
11:16 GELU = Input dependent dropout
16:54 General equation for a class of activation functions
18:13 SiLU = Input dependent dropout...