[17:35, 22/01/2022] Iulian ?: I have a machine learning project to do.
This is a project about gaze estimation (eye tracking). The MPII Gaze Dataset database and the ResNET 34 architecture should be used. The results of the project should be demonstrated in 5 pictures, so if you could train the network and send me some results it would be perfect.
BONUS: "Parameter ablation" refers to the performance obtained when different values for the "learning rate" respectively augmenting the database by adding noise, rotations, etc.
These parameters should also vary.
Do you think you can help me a lot?
[17:36, 22/01/2022] Iulian ?: If you can do in Jupyter Notebook it will be helpful