“turned out that by only defining the derivatives for scalar values, it was sufficient to generalise to any higher dimensional Tensors. Therefore, I think building backpropagation intuition from the scalar valued perspective is extremely educational” Yep exactly. I think matrix
Scalar-based Backpropagation: Foundation for Tensor Derivatives
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