deep learning model performance trajectory
Plotting Deep Learning Model Performance Trajectories
I am excited to share a new deep learning model performance trajectory graph. Obviously is going to take some training and practice to read these graphs quickly: but that is petty much true for all visualizations. The methods work with just about any staged machine learning algorithm (neural nets, deep learning, boosting, random forests, and more) and can also be adapted to non-staged bug regularized methods (lasso, elastic net, and so on). The graph is now part of the development version of WVPlots. And we have complete worked examples for Keras and xgboost.