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Bhagyesh Vikani committed Mar 14, 2019
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# tf_cnnvis

[DOI: 10.13140/RG.2.2.22741.27362](https://doi.org/10.13140/RG.2.2.22741.27362)

tf_cnnvis is a CNN visualization library which you can use to better understand your own CNNs. We use the [TensorFlow](https://www.tensorflow.org/) library at the backend and the generated images are displayed in [TensorBoard](https://www.tensorflow.org/get_started/summaries_and_tensorboard). We have implemented 2 CNN visualization techniques so far:

1) Based on the paper [Visualizing and Understanding Convolutional Networks](https://www.cs.nyu.edu/~fergus/papers/zeilerECCV2014.pdf) by Matthew D. Zeiler and Rob Fergus. The goal here is to reconstruct the input image from the information contained in any given layers of the convolutional neural network. Here are a few examples
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title = {CNN Visualization},
year = {2017},
howpublished = {\url{https://github.com/InFoCusp/tf_cnnvis/}},
note = {commit xxxxxxx},
doi = {10.13140/RG.2.2.22741.27362}
note = {commit xxxxxxx}
}
```

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