We employ various optimization techniques to enhance the performance of TensorFlow models in Python assignments. This includes optimizing hyperparameters, implementing efficient algorithms, leveraging GPU acceleration, and employing distributed computing strategies. By optimizing the TensorFlow models, we ensure faster execution times and improved scalability, leading to enhanced overall performance.