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Hiya mates!! In this vid, we look at the basic structure for this new Neural Net library. I think it will be great fun!! Cheers for support mates :) Please find attached the source code from the video :) I have added some comments. Hopefully the comments and vid add some insight as to where we're going :) Happy times!!!

I'm not sure how much of the project's folder to share when posting code. Is it ok? Or would be better to make larger DL with proj files, etc?

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Neural Net Structure

In this video, we code the class structure for a Neural Net library. It is designed to make the interface as simple as possible. My idea is to completely remove all "for" loops from the library except in the number crunching Matrix class. Support What's a Creel? on Patreon: https://www.patreon.com/whatsacreel New Website (shoutout to AztockDog of The Lost Underground!): 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 3Blue1Brown vids on Neural Nets: https://www.youtube.com/watch?v=aircAruvnKk&t=4s Coursera course on Neural Nets: https://www.coursera.org/learn/neural-networks-deep-learning Michael Nielsen's online NN book: http://neuralnetworksanddeeplearning.com/ Visual Studio 2017 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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