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Deep Learning Academy · Lesson

Confusion Matrices & Error Analysis

Find where the model fails.

See Every Mistake

A confusion matrix lays out predicted versus true labels in a grid. One glance shows exactly where your model trips up.

Rows and Columns

Rows are the true classes and columns are the predicted ones. The diagonal holds correct calls; everything off it is an error.

All lessons in this course

  1. Precision, Recall, F1 & ROC-AUC
  2. Confusion Matrices & Error Analysis
  3. Grad-CAM: See What the Model Looks At
  4. Calibrate Confidence
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