├── DataSet/
│ ├── real_vs_fake/
│ │ ├── real_vs_fake/
│ │ │ └── test/
│ │ │ ├── real/
│ │ │ └── fake/
│ │ │ └── train/
│ │ │ ├──real/
│ │ │ └── fake/
│ │ │ └── valid/
│ │ │ ├── real/
│ │ │ └── fake/
│ └── History/
├── MesoNet/
│ ├── Modeling.ipnb
│ ├── Modeling.py
│ ├── Training.ipnb
│ ├── Training.py
│ └── config.json
├── Models/

DataSet : Collected from Keggale
History : performance of each model at every epoch includes training loss, training accuracy, validation loss and validation accuracy
MesoNet : Files to train MesoNet models, differ by filter size and/or input sizes
Modeling.ipnb : Visualize and costumise model architectures
Modeling.py : After defining model at Modeling.ipnb file copy paste here to use in Traing.ipnb
Traing.ipnb : Step by step to train models imported forom Modeling.py in browser
traing.py : Same as Traing.ipnb but in command prompt
config.json : data of all models current traing status