Manual Tuning: Adjust parameters based on experience and results
Grid Search: Try all combinations in a grid. Thorough but expensive
Random Search: Sample random combinations. Often more efficient
Bayesian Optimization: Uses previous results to guide search
Key Hyperparameters: Learning rate • Batch size • Epochs • Architecture • Regularization