I had a conversation recently with one of my friends who is a Sci-fi enthusiast, especially when it comes to artificial intelligence, but has no background in AI/ML. I attempted to explain how basic neural networks work but struggled to make the back-propagation method intuitive. I wonder if anyone here can describe it without going into the details of probability distributions, activation functions, gradient descent and the like.
In: 6
> gradient descent
Impossible. Because the first major question is: “why do back prop?” and the answer is: “gradient descent”. If you want to explain now ANN works, you better approach it the other way around. You explain that the goal is “gradient descent” without having to explain how it is being done i.e. backprop
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