in Tensorflow-keras directory run this code:
python train.py
in Pytorch directory run this code:
python train_torch.py
in Active Learning (Pytorch) directory run this code:
python train_queries.py
You can change the hyperparameters in the main running file.
You can also add more models in the models directory using our importing format
You can use any datasets and using datasets directory files you can split and preprocess the datasets.
We achieved 98% validation accuracy using InceptionResnetV2 model and could reach around 0.0002 total validation loss in Active learning and normal classifiers in Pytorch and Tensorflow.