Week 13 Progress Update

Week 13 Progress Update


    This week was mainly used to analyze the sessions that i have run so far. I came up with a system where I apply the weights to three different images, a checkered pattern, black and white noise, and a sample from the cifar10 database, more specifically a chicken. Applying the weights to these three images allows me to see the patterns that these filters "learn" to "look for".  While I don't have a particularly precise method of analyzing these new images, I have developed a system that allows for semi-consistent analysis of the images that can be compared across sessions. This system is in the form "x/n property (c/10)" where x is the number of images that appear to have the given property out of the total number n of filters in that layer. I say that these appear to have this feature with certainty c/10 where 10 is very certain and 1 is not certain at all. The document for one of my sessions is shown below.

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