Recognize Chess Board
- Create Git represotory and init files
- Download Data from DropBox
- Find board
- Split board
- Preprocess data
- Load Pretraind models(e.g,VGG) and add new layers from top
- Train on new data
- Evaluate
- Save Final model
- Create summaries and reports
- add docs
- add comments
- Preprocess data/ sparse vs categorical represantation
- Create baseline model
- Visualising model