typo

Author: Borda

course_UvA-DL/01-introduction-to-pytorch/notebook.py

@@ -883,7 +883,7 @@ def train_model(model, optimizer, data_loader, loss_module, num_epochs=100):
 #
 # $$acc = \frac{\#\text{correct predictions}}{\#\text{all predictions}} = \frac{TP+TN}{TP+TN+FP+FN}$$
 #
-# where TP are the true positives, TN true negatives, FP false positives, and FN the fale negatives.
+# where TP are the true positives, TN true negatives, FP false positives, and FN the false negatives.
 #
 # When evaluating the model, we don't need to keep track of the computation graph as we don't intend to calculate the gradients.
 # This reduces the required memory and speed up the model.