Implementation of an Ensemble model as detailed in the book Deep Learning with Pytorch by Vishnu Subramanian. The Ensemble model is made up of pretained Resnet34, Inception and DenseNet models.
- data_laoder.py loads and preprocesses the data
- utils.py contains neccessary utilities to train and deploy the model
- models.py contains the imported models
- Ensemblemodel.py is where we put together all 3 imported models to generate an Ensemble model