How can I evaluate a TensorFlow.js model?
An example of an AI chatbot conversation about evaluating TensorFlow.js models.
How can I evaluate a TensorFlow.js model?
To evaluate a TensorFlow.js model, you can use the model.evaluate() method, which computes the loss and metrics.
What kind of metrics can I use for evaluation?
Common metrics include accuracy, precision, recall, and F1 score. You can specify these when compiling your model.
Can I visualize the evaluation results?
Yes, you can use libraries like Chart.js or D3.js to create visualizations of your evaluation metrics.
Is there a way to save the evaluation results?
Absolutely! You can save the results to a JSON file or a database for later analysis.
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