GRAD-CAM-Model-Interpretation

Model Interpretability is very crucial to understand the behaviour of the model inorder to make model more robust,meaningful and understandable.

How to Use it

First install the necessary packages by typing command pip install -r requirements.txt

Now simply pass the following parameters to the class object GradCaM and run the model_explainer.py python file

Parameters to Model Object

1. image:str

2. model

3. last_conv_layer:str

4. classifier_layer_names:list

5. IMAGE_SIZE:int