The Math Behind Neural Networks Explained To An IT Person 

This video explains the math behind neural networks in simple terms for people with an IT background. It starts by framing neurons as logical gates and then discusses how neural networks use weighted sums and activation functions to process inputs. It also covers gradient descent and backpropagation, which are two important algorithms used to train neural networks.
The video uses simple language and avoids complex mathematical equations, making it easy for people with an IT background to understand. It also includes helpful visuals to illustrate the concepts being discussed.
Overall, this video is a great resource for anyone who wants to learn more about the math behind neural networks. It is particularly helpful for people with an IT background who may not have a strong math background.