Demonstrate how to derive and implement the backward computing of matrix multiplication.
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Updated
Sep 26, 2020 - Python
Demonstrate how to derive and implement the backward computing of matrix multiplication.
Explore the Math behind it by designing a neural network, derive the parameter gradients with respect to loss function and update the parameter weights and update the weight parameters using the gradients without the help of in-built libraries.
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