How can I optimize my Keras model for better performance?
An example of an AI chatbot conversation about optimizing Keras models for improved performance.
How can I optimize my Keras model for better performance?
You can optimize your Keras model by tuning hyperparameters, using callbacks, and applying regularization techniques.
What hyperparameters should I focus on?
Key hyperparameters include learning rate, batch size, number of epochs, and the architecture of the model.
Can you explain how to use callbacks for optimization?
Callbacks like EarlyStopping and ModelCheckpoint can help you monitor performance and save the best model during training.
What regularization techniques do you recommend?
I recommend techniques like Dropout, L2 regularization, and Batch Normalization to prevent overfitting.
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