Java, AI, Programming, Software Development, Deep Learning.
power of using Java for AI development. Improvements Data Normalization: Normalize the input data to improve model performance. Cross-Validation: Implement cross-validation to better assess model performance. Hyperparameter Tuning: Experiment with different learning rates, batch sizes, and model