DEEP-LEARNING-FUNDAMENTALS5 MIN READ
Sort Regularization, Optimization, Architecture
Distinguish regularization, optimization, and architecture changes in deep learning experiments.
Place each move in the family it primarily belongs to. Optimization Regularization Architecture Data Lower the learning rate Switch from SGD to Adam Clip exploding gradients Add weight decay Add dropout before the classifier head Use early stopping on validation loss Replace plain blocks with residual blocks Use convolution instead of dense layers for images Add realistic image augmentation Audit noisy labels in the failing class
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