Skip to content

Latest commit

 

History

History
13 lines (7 loc) · 740 Bytes

README.md

File metadata and controls

13 lines (7 loc) · 740 Bytes
Raw

Adaptive Content Generation using Facial Recognition and Deep Learning

Project developed by Akash Saravanan and Gurudutt Perichetla for SVCE Innovates 2018.

Instructions

  • Notebooks 1 through 4 details our progress from preprocessing that data, exploring it, creating models from it and implementing the model.

  • The last notebook contains all the other models that we used including the ones we discarded while tuning the hyperparameters.

Dataset used: FER-2013

Dataset is freely available and the code may be run locally if you have the 'fer2013.csv' file. Feel free to use our work in yours but do credit us ;)