Backpropagation, Mathematics, Calculus, Machine Learning, Neural Networks.
calculate to get our weights matrix. Remember that our a2 is equal to our yhat — they both represent our prediction. Finding the first derivative ∂ C / ∂ yhat is just like how we did before, since we’re still dealing with just scalar values (a2/yhat is a scalar), since it’s after we come up with