Week 11 Progress Update

Week 11 progress update

    This week I started to record and analyze the output of the neural network. Using the saving feature of my neural network I ran the network twice, first on 10,000 images and then on 30,000 images. I saved the weights, naming them used on a system as follows, (# of images)_run(run #), for example 10k_run1. I made a program that output the weights in a grid with a square representing a weight, with a high weight being red and a low weight being blue as shown below. I then began adding a function that could apply the weights to an image so I could better analyze it. I haven't quite completed this yet but as soon as I do I should be well prepared to analyze the weights after I have collected a few more samples. I mighr additionally make a program to average together several weight matrices from samples of the same size so that I can get a more accurate general example.

below - the first and second level weights for the 10k run and 30 k run
 

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