Issue with backpropagation #3
Description
Description
Issue with backpropagation. When attempting to train the model using backpropagation, it seems that the loss function doesn't decrease.
Difficulty
- Intermediate
- 30 Points (FOR EACH CORRECTION)
File with Issue: xor.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