ResNet50 is a variant of ResNet model which has 48 Convolution layers along with 1 MaxPool and 1 Average Pool layer. It has 3.8 x 10^9 Floating points operations. It is a widely used ResNet model and we have explored ResNet50 architecture in depth.

         * HTML
         * CSS
         * Python(Flask as Backend)

Screen Shot of the Model :

1. Download all requirements
2. Download The Dataset from the Folder
3. Run the Notebook to generate H5 File Transfer Learning Resnet50.ipynb or Download it Here
4. Now run command python app.py
5. And Boom !! There is you're WebApp