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