Training a single-label classification model in detail

Topics covered:
  • Explanation of training parameters
  • The relationship of per-class and global performance statistics
  • Viewing and downloading predictions on train/validation sets
  • Analyzing the learning curves
  • Analyzing the confusion matrix
  • Using the model inside the platform or via REST API

You can download images used in this tutorial here

You can download video tutorial here