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Here is the first (I hope of many) videos on the topic of AI. I worked full-time in the field last year and the year before (which is one of the defining reasons I was not able to upload videos during this time). I hope to explore the current state of the art in AI, and develop a bleeding edge library for machine learning.


Cheers for all your support peeps! I will be putting the source code for the library up here before it's made public :)

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Previews only

Introduction to Neural Networks

In this video we'll look at neural networks. We'll cover the basics of biological neural networks, then look at the theory behind artificial neural networks, before introducing the main mechanism behind real high-performance artificial neural networks. I hope to build a library for AI during the course of this series. We will eventually get down to the Assembly level, multithreading, SIMD, caches, etc. Should be really great fun!! Cheers all :) If you want to support this channel and/or project jump over to 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 Software used to make this vid: 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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