Today I presented everything I did over the summer. I felt that all of the presentations went great and I am very grateful to RIT as well as my mentors for this amazing experience. Here is my presentation.
I started today debugging my code for my neural network. After a healthy amount of googling and some perseverance I was able to roughly train and evaluate my model. The performance was subpar but hopefully I will be able to improve that next week. When that was over I went to the free pizza lunch provided for all of the REU summer research students and I then attended a lecture on visual perception. Although this was not very related to my project I still found it to be a valuable use of my time. It was extremely mind-blowing to realize that our eyes can only see details in a very small field of vision. Our peripheral vision is a lot worse than I previously thought. One of the coolest visual demos was these two tables shown below. Believe it or not the tabletops are exactly the same size and shape. Human visual perception is fascinating and I plan to continue attending the lectures throughout the summer. Source: http://www.optical-illusionist.com/illusions/table-size-illusio
While I was waiting for my experiments to run on the server I spent the day presenting in front of various members of kLab. I got some very good advice from Dr. Kanan in the morning which I used to update my presentation. Later in the day with the help of Tyler, Dr. Kemker and Kushal I was able to get a presentation that I was happy with. I plan to update the presentation with the results from the experiments I ran.
Today I learned about the basics of machine learning from my mentor. Although it was complicated I thought I was able to understand some of it. After that I was tasked with learning Numpy a package that is used for linear algebra in python. I spent the rest of the day trying to learn the basics of Numpy and linear algebra. I learned a lot about neural networks and python today and I look forward to being able to apply that knowledge in a project.
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