Early Stopping

Good practices for addressing the Overfitting Challenge:

add more data
use Batch Norm(alization) & Standardization
use architectures that generalize well
reduce architecture complexity
add Regularization
- L1 and L2 Regularization - update the general cost function by adding another term known as the regularization term.
- Dropout - at every iteration, it randomly selects some nodes and temporarily removes the nodes (along with all of their incoming and outgoing connections)
- Data Augmentation
- Early Stopping

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