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In this vid, we implement the feed forward function for our net and layers. It's still missing the activations step, but that requires a little care, so I wanted to implement in a dedicated vid.

Ya'll have been really encouraging for this channel. Looking forward to fun vids :)

Thanks!

(p.s. look out for the source codes from the vid, will post to ya'll soon :)

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Neural Nets 5: Forward Propagation (Feed Forward)

In this video, we'll implement the forward propagation step. This is where the Neural Net takes the data in the input layer, and pushes it through the layers, in order to compute the result. We still have no input, and we need to apply the activation function. 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/ Meshroom: https://alicevision.github.io/

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