Description
For the data shared build a classification model using CNN and
Keras and perform below tasks.
• Plot the test and validation, loss and accuracy.
• Check for overfitting and apply L1, L2 regularisation, early stopping and dropout techniques.
• Plot the accuracy and loss with different optimizers.
• Fine tune hyperparameters using Keras tuner.
• Display confusion matrix
• Calculate accuracy, precision and recall
• Plot the ROC curve
• Chose the right threshold for sigmoid output.
• Note : Upload only the .ipynb file without zipping.
Click on the below link to access the Data Set (chest_xray_images.rar)
https://drive.google.com/file/d/13Bp1MzUpUZPkMljldw9ei6EWklgSrxGx/view?usp=sharing