What are some effective techniques to improve AI performance?
There are several techniques to enhance AI performance, such as data augmentation, hyperparameter tuning, and transfer learning.
Can you explain data augmentation?
Data augmentation involves creating new training samples by modifying existing data, which helps improve model robustness.
What is hyperparameter tuning?
Hyperparameter tuning is the process of optimizing the parameters that govern the training process to improve model accuracy.
How does transfer learning work?
Transfer learning allows a model trained on one task to be adapted for a different but related task, saving time and resources.
Are there any tools for these techniques?
Yes, tools like TensorFlow, Keras, and PyTorch offer built-in functionalities for data augmentation and hyperparameter tuning.
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