Usually we see Bias-Variance trade off as a concept which we memorise. However the beauty of Bias-Variance is profound once we see how beautifully it appears in the equations of the loss functions. In this talk we will be seeing the mathematical occurrence of bias-variance tradeoff in ML.
The second part of the talk will lay a mathematical framework of Back-Propagation. This talk will be based on Yann LeCunn's paper. Link to the paper
Usually we see Bias-Variance trade off as a concept which we memorise. However the beauty of Bias-Variance is profound once we see how beautifully it appears in the equations of the loss functions. In this talk we will be seeing the mathematical occurrence of bias-variance tradeoff in ML.
The second part of the talk will lay a mathematical framework of Back-Propagation. This talk will be based on Yann LeCunn's paper. Link to the paper