This contains the code for the project - Creating an Interpretable Classifier.
- Train the encoder-decoder network using
train_semseg.ipynb
- Create the decision tree model from
decision_tree.ipynb
- Evaluate the complete pipeline using
evaluate.ipynb
- Compare the above computed accuracy and F1 score from other standard classifiers:
vgg16.ipynb
,alexnet.ipynb