Deep Learning in Practice: How to Elegantly Solve Class Imbalance in Model Fine-tuning
A comprehensive guide to addressing class imbalance in Python deep learning, covering data augmentation, sampling strategies, cost-sensitive learning, and Focal Loss implementation during model fine-tuning
