AleksandrinunpackRecourse, accountability and feedback loopsRecourse and accountability2 min read·Mar 29, 2021----
AleksandrinunpackModel ValidationModel validation is the process of evaluating a trained model on test data set. This provides the generalization ability of a trained…3 min read·Mar 8, 2021----
AleksandrinunpackDropout Technique and Ensemble MethodsAbout a decade ago deep learning networks were infamous due to overfitting issue. A fully connected layer occupies most of the parameters…4 min read·Feb 1, 2021----
AleksandrinunpackDecision Trees and Random ForestEnsembles of decision trees (random forests and gradient boosting machines) mainly used for structured data. Although deep learning is…4 min read·Jan 18, 2021----
AleksandrinunpackImproving Our ModelThere’s a range of techniques that we can use to improve our model. The most important is perhaps a learning rate. Our model really needs…3 min read·Jan 4, 2021----