论文必备 | 12个神经网络可视化工具

原文链接: 

https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

本文介绍了了12个将神经网络画地更好看的工具。

1. draw_convnet

一个用于画卷积神经网络的Python脚本

  • https://github.com/gwding/draw_convnet

2. NNSVG

  • http://alexlenail.me/NN-SVG/LeNet.html

3. PlotNeuralNet

  • https://github.com/HarisIqbal88/PlotNeuralNet

使用latex 来展示神经网络

4. Tensorboard

  • https://www.tensorflow.org/tensorboard/graphs

5. Caffe

  • https://github.com/BVLC/caffe/blob/master/python/caffe/draw.py

使用Caffe/draw.py

6.Matlab

  • http://www.mathworks.com/help/nnet/ref/view.html

7.Keras.js

  • https://transcranial.github.io/keras-js/#/inception-v3

8. DotNet

  • https://github.com/martisak/dotnets

9.  Graphviz

  • http://www.graphviz.org/

10. ConX

  • https://conx.readthedocs.io/en/latest/index.html

11. ENNUI 

  • https://math.mit.edu/ennui/

12.  Neataptic

  • https://wagenaartje.github.io/neataptic/




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