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# Convolutional Neural Network Visualizations
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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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This repository is an attempt to visually represent the inner workings of convolutional neural networks. This work is by no means revolutionary, however, the goal is 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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### Navigation
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* [Running Notebook Locally](#installing_locally)

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