Data augmentation is a critical technique in deep learning that involves creating new training data by modifying existing samples. It is essential because it diversifies the training data, improving the model’s ability to generalize to new, unseen examples. Creating variations of existing samples prevents overfitting and helps the model learn more robust and adaptable features, […]
The post This AI Research Proposes Random Slices Mixing Data Augmentation (RSMDA) for Superior Image Classification: A Novel Approach to Enhancing Neural Network Accuracy and Robustness appeared first on MarkTechPost.
SOCIAL SHARE CARD GENERATOR