Improved stage 2 training pipeline

Major change:

In stage 2, model is now trained on one half of the mixed dataset and validated on the other, without splitting off validation data in each half. This is more exhaustive and logical.

Minor change:

Scripts are renamed to streamline the workflow

Data:

Three models are provided that allow to run notebook #03

First stable version

Initial Release

Highlights

• Neural Style Transfer (NST) dataset augmentation
• Model fine-tuning and evaluation workflows
• Visualization-aided data exploration
• Web deployment (TensorFlowJS) of the final model
• Three saved models, trained on one particular dataset split

Notes

This version represents the first complete pipeline from data preparation to deployment. A garantee for bug-free is futile.