Backpropagation in matrix notation

This provides a foundational mathematical tool for researchers and practitioners in machine learning, though it is incremental as it reformulates an existing method.

The paper tackles the problem of computing gradients for neural networks by deriving the backpropagation algorithm using matrix notation, resulting in a clear and concise mathematical formulation.