Day 25: Running my liflelong VQA tests

I spent this morning working on my presentation. I tried to make my presentation more polished and explain computer vision in a concise way. After that I began making my lifelong programs ready to run on the server. When I tried to run the programs on the imac I am using it crashed so I needed something with more memory. After working with Tyler to convert my numpy code to Pytorch it was ready to run on the server. Pytorch is a library that runs large array calculations much quicker than numpy. I hope to extract data from my trials in order to evaluate their effectiveness.

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