Standard Matrix Product for our Neural Net Library (Patreon)

Matrix Multiplication in C++ (for Neural Networks)

In this video we code the matrix product in C++. It is important that we have a working Neural Network library before we worry about performance coding. We also code the Hadamard product, element-wise addition and subtraction. We will use all of these methods when we implement Forward and Back propagation. Support What's a Creel? on Patreon: https://www.patreon.com/whatsacreel New Website (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/