Gender Recognition using Pytorch

ggn
pytorch.pdf

Computer Vision UA-0480-001

Homework Final, submission due May 13th and individual presentation in class due on May 15th (schedule below).

Professor Davi Geiger

1. Submit the Code that discriminate Female vs Male (and detect faces). Format - • Submit your running code in an ipython notebook • Have all the relevant graphs and figures and images already run in the notebook before submitting • Show the working code by taking a sample image and running the detection on it and have it running in the notebook before submitting • If you are importing any file (python module/sample image), please include the same in the zipped folder while submitting

2. Submit Answer to the following Questions a. Plot a curve of error rate vs epochs (number of iterations) b. What was the learning rate used ? c. Describe the difficulties you faced in doing this homework. One paragraph, short

sentences. 3. Individual presentation on Tuesday 5/15/2018 from 2:00 to 3:50 pm, in class. Last names

starting with the letters "A" to letter "K" (included) come at 2:00 pm. Last name starting with the letter "L" up to "Z" come at 2:50 pm.