I'm having trouble with my TensorFlow.js model. It seems to be underfitting. What should I do?
Underfitting usually means your model is too simple. You can try increasing the model complexity by adding more layers or units.
I've added more layers, but the accuracy is still low. Any other suggestions?
Make sure you're using an appropriate learning rate. Sometimes, adjusting the learning rate can significantly improve performance.
How can I check if my data is causing the issue?
You can visualize your data distribution and check for any anomalies. Also, ensure your data is properly normalized.
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