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In this vid we look at what activation functions are, and we implement 3 along with their derivatives in our Neural Net library.


Cheers for the support all! We have some fun vids coming! Fin the source code from this video attached :) 

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Neural Nets 6: Activation Functions

In this video, we'll explore activation functions. What they are, why they're used, and then we'll implement 3 of them along with their derivatives in our Neural Net library. Thank you Bob and Trish, for lending me your living once again :) Activation Functions Wikipedia: https://en.wikipedia.org/wiki/Activation_function E mathematical constant Wikipedia: https://en.wikipedia.org/wiki/E_(mathematical_constant) Andrew Ng's Coursera Course (no programming, but it's very good!) https://www.coursera.org/learn/machine-learning Support What's a Creel? on Patreon: https://www.patreon.com/whatsacreel Website: https://whatsacreel.net/ FaceBook: https://www.facebook.com/whatsacreel/ Music Channel: https://www.youtube.com/channel/UC2nWRGqPL6O-Lm8mexWhISQ Another channel with random things: https://www.youtube.com/channel/UCK7bPumWNzWRnb3N8LCzKsA Software used to make this vid: Visual Studio 2019 Community: https://www.visualstudio.com/downloads/ Blender: https://www.blender.org/ Audacity: https://www.audacityteam.org/ OBS: https://obsproject.com/ Davinci Resolve 16: https://www.blackmagicdesign.com/products/davinciresolve/

Comments

Miricale Y

Hi, really awesome job here, looking forward to any update on this Library.

Misery

Pretty nice project, hope you continue it <3<3<3