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I have applied Keras ResNet-50 on a small x-ray image dataset. I tried making layers both trainable and non-trainable, but my model validation accuracy doesn't improve above 50%.

I don't understand how to help my model by solving this overfitting problem. Here is my Kaggle kernel.

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