2021
Optimization
August 10, 2021Deep learning optimization fundamentals: generalization, overfitting, cross-validation, bias-variance tradeoff, bootstrapping, bagging, and boosting.
6 min read·dlData Visualization
August 9, 2021Data visualization concepts: data types, marks, channels, and pre-attentive attributes.
1 min read·mldata-vizRNN
August 6, 2021Fundamentals of RNN including sequence data handling, latent autoregressive models, BPTT, and truncated backpropagation.
2 min read·mlnlp+1Naver Boostcamp AI Tech 2nd - Week 1 Report
August 6, 2021Week 1 retrospective of Naver Boostcamp AI Tech covering AI math fundamentals, Python basics, and gradient descent implementation.
1 min read·naver-boostcampProof of Gradient Descent
August 4, 2021Mathematical derivation of gradient descent for linear regression, from L2 norm cost functions to SGD.
3 min read·mlalgorithmGradient Descent Basics
August 3, 2021Gradient descent basics: differentiation, gradient vectors, partial derivatives, and the nabla operator.
1 min read·ml