This repository belongs to my first homework in Deep Learning graduate course (EE25-647) at Sharif University of Technology.
Our task was to design an MLP network and train/test it on Sign Language MNIST. We also examined the effects of dropout and batch normalization on accuracy and used tensorboard for visualizations.
P.S.
- We had to do our implementations using
tensorflow 1.xx. requirments.txtis automatically generated usingconda list -e > requirements.txt.