Dissertation Release

[omonimus1]

In the following order:

• [] Complete flower recogniser; Describe current CNN approach, and then improve via using https://github.com/boleamol/flower_classification/blob/main/Transfer_Learning_DenseNet201.ipynb DenseNet layer -> Make sure to verify that both dataset are equals, and identify key differences. The dense one, can be used in the evaluation part, as improvement of the original CNN.
• Complete Conclusion -> AT THE END OF THE DISSERTATION
• [] Adds testimoniation about data processing phase for flower classifier implementation
• Complete flower classification section.
• Add UI implementation
• Complete images list index, rename images and sort the order
• Host project on AWS.
• []: https://www.tensorflow.org/hub/tutorials/image_feature_vector