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How can you find underfitting in tensforflow ? How can you avoid it ?
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Answer / Raju
Underfitting in TensorFlow can be detected by looking at the training and validation loss curves. If the loss on both training and validation data is high, then the model might be underfitting. To avoid underfitting, techniques like increasing the model capacity, adding more features to the dataset, or using more complex models can be applied.
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