Today was a breakthrough day! We were able to take our first step in optimizing our machine model. And we have begun to see promising results when training. As none of us have very minimal experience when it comes to deep learning, seeing the progress we have made with the model is fascinating. However, we still have to make modifications to the model through parameter adjustments, adding & removing relevant features and so on.
The major issue we have was difficulty setting a cloud VM to run our model on. But just today, my teammate was able to gain access to OSU’s cloud that uses the infamous Nvidia tesla GPUs. Machine learning is an expensive operation and having capable hardware is a must to save time. Personally, being the proud owner of a GTX 1070 (sarcasm), I am unable to do expensive computational tasks on my local device.
Moving forward, we plan on running our model on OSU’s cloud when training and testing with datasets. We would also ideally like to host our project as well, but since it is not one of the hard requirements, it is not a priority at the moment. I am looking forward to see how just how much faster our model runs with high end hardware and to learn more about deep learning in general!
