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This project uses a deep learning model built with the TensorFlow Library to detect pneumonia in X-ray images. The model architecture is based on the EfficientNetB7 model, which has achieved an accuracy of approximately 97.12% (97.11538%) on our test data. This high accuracy rate is one of the strengths of our AI model.

License: MIT License

Python 0.90% Batchfile 0.03% Jupyter Notebook 99.07% VBScript 0.01%

ai artificial-intelligence artificial-neural-networks cli data data-science database gui interface kaggle keras pneumonia pneumonia-classification pneumonia-detection pneumonia-detector pneumoniac-xray python tensorflow tensorflow2 training

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Hey There! 👋

I’m Aydin, backend developer interested in developing deep learning models.

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Unknown layer: 'FixedDropout'

Error loading the model: Unknown layer: 'FixedDropout'. Please ensure you are using a keras.utils.custom_object_scope and that this object is included in the scope. See https://www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.
this is issue i am facing can you provide custom layer.py file where fixeddropout is defined

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