-This repository is an attempt for me to visually represent the inner workings of convolutional neural networks. This work is by no means revolutionary, however, I am trying to illustrate various methods for representing how a CNN makes decisions. In this effort I hope to understand the fine details of CNNs. Deep neural networks do not have to be black boxes. It may seem that it is some miracle that a model can identify a cat in an image, but believe me, it's not. It's just really complicated math under the hood. I believe that every ML engineer should understand how their model makes decisions, which ultimatly should answer questions related to bias. I'm new at this so bare with me...
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