From 4fa507d703204f8a3c30b8ff57d5023395a56c05 Mon Sep 17 00:00:00 2001 From: Bhagyesh Vikani Date: Thu, 14 Mar 2019 13:09:06 +0530 Subject: [PATCH] Update ReadMe.md --- ReadMe.md | 5 +---- 1 file changed, 1 insertion(+), 4 deletions(-) diff --git a/ReadMe.md b/ReadMe.md index bf50500..76bdb3e 100644 --- a/ReadMe.md +++ b/ReadMe.md @@ -1,7 +1,5 @@ # 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 @@ -66,8 +64,7 @@ If you use this library in your work, please cite 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} } ```