Egyptian Hieroglyph Recognition API Demo
This demo is part of my final project at Metis (https://thisismetis.com). The backend machine learning model is trained in two steps with convolutional variational autoencoder (C-VAE) to obtain latent features, and then with artificial neural network (ANN) dense layers as an image classifier. The API frontend is coded in Python Flask.
Places to find me:
https://github.com/katharinax
https://katharinax.github.io/
/ katharinahuang
Video editing: Adobe Premiere Pro
Music: Desert City - Kevin MacLeod | YouTube Audio Library