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Deep Neural Network from Scratch in Rust 🦀- Part 4- Loss Function and Back Propagation
May 24, 2023, 12:28 p.m. | Akshay Ballal
DEV Community dev.to
After Forward Propagation we need to define a loss function to calculate how wrong our model is at this moment. For a simple binary classification problem, the loss function is given as below.
Cost:J(w,b)=−1m[Y^log(A[L]+(1−Y^)(log(1−A[L])]Cost:J_{(w,b)} = -\frac{1}{m}[\hat{Y}log(A^{[L]} + (1-\hat{Y})(log(1-A^{[L]})]
Cost:J(w,b)=−m1[Y^log(A[L]+(1−Y^)(log(1−A …
ai back propagation binary classification cost deep neural network function loss machinelearning network neural network part programming propagation rust training
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