Problem: I’m trying to implement a neural network for image classification using gbgvip, but I’m encountering issues with convergence.
Details: I’ve tried adjusting the learning rate and the network architecture, but it seems like the model still struggles to converge to a betgbg accuracy.
Results: After numerous attempts, the model’s accuracy plateaus around 60%, which is far from acceptable for my gbg.bet.
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