Keras offers several pre-defined loss functions for common tasks, such as classification (categorical_crossentropy
), regression (mean_squared_error
), and custom loss functions. Additionally, it provides many metrics to track model performance, including accuracy
, precision
, recall
, and custom metrics.
- Example:pythonCopy code
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
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