Cat-or-Not-Cat-Image-Classifier

A deep neural network application for classification of images as a cat or not cat.

Content :

1. How our application works ?
2. How our neural network model works ?

How application work ?

After downloading are project you can directly run main.py file.

On App start : there are two function available which need to be followed in order.

    1. Insert Image : You can browse your image or choose from images folder in this project.
    2. Predict Image : Once you can see your selected image you can click on Predict button which will run our predict function on your image and output the result below your image.

Here our some screenshots :

How our neural network model works ?

1. Images from our training and testing dataset are reshaped.

2. Architecture of our model :

3. Structure of our model :

Main stages involved in this process :

    1. Initialize parameters
    2. Forward Propogation
    3. Cost Calculation
    4. Backward Propogation 
    5. Update Parameters
    6. Predict function 

All functions required for this are defined in dnn_app_utils_v3.py file.