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omar-florez / scratch_mlp

Explaining the Math of how neural networks learn

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dLoss/dW2 = -(y-h2)?

mvfolino68 opened this issue · comments

commented

Great tutorial! I love the explanation and being able to follow through with actual code.

is this a typo in the ReadMe.md table?

Function First derivative
Loss = (y-h2)^2 dLoss/dW2 = -(y-h2)

should it be?:

Function First derivative
Loss = (y-h2)^2 dLoss/dh2 = -(y-h2)