Description

Issue with backpropagation. When attempting to train the model using backpropagation, it seems that the loss function doesn't decrease.

Difficulty

• Advanced
• 50 Points (FOR EACH CORRECTION)

File with Issue: dig.py

Expected Behavior

I expect the loss to decrease over epochs as the model learns from the data.

Actual Behavior

The loss remains stagnant, and the model doesn't converge even after multiple epochs.

HINT: Bringing clarity to complexity, some secret issues needs resolving