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Pneumonia Detection with an accuracy of 91%
Model Architecture: - model = Sequential() - model.add(base_model) - model.add(AveragePooling2D(pool_size=(2, 2), strides=2)) - model.add(Flatten()) - model.add(Dense(256, activation="relu")) - model.add(Dense(128, activation="relu")) - model.add(Dense(2, activation="softmax")) - model.compile( loss="sparse_categorical_crossentropy", optimizer=Adam(learning_rate=0.000035), metrics=["sparse_categorical_accuracy"], ) Confusion Matrix for the model  model evaluation result: c7308c1 -
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