【深度学习】超级赞!N个神经网络可视化利器
分享展示神经网络的N个利器。
1、PlotNeuralNet
使用Latex绘制神经网络。传送门:https://github.com/HarisIqbal88/PlotNeuralNet
![](https://filescdn.proginn.com/949136d2bbb6980b6e1d0446b8f6d1d0/fd377a0f44950867964b551c8f7792e0.webp)
overleaf上Latex代码:https://www.overleaf.com/read/kkqntfxnvbsk
![](https://filescdn.proginn.com/d34a80ef29186e940f578a30a35a31af/22812355e94bebd9faedf59af08a793a.webp)
overleaf上Latex代码:https://www.overleaf.com/read/wsxpmkqvjnbs
![](https://filescdn.proginn.com/be387966df4f7d40f8756584fba905f7/cf05374bae84ec3a9ef790364fe32d22.webp)
overleaf上Latex代码:https://www.overleaf.com/read/jxhnkcnwhfxp
2、Matlab
https://www.mathworks.com/help/deeplearning/ref/view.html;jsessionid=bd77484ba149c98d4d410abed983
[x,t] = iris_dataset;
net = patternnet;
net = configure(net,x,t);
view(net)
![](https://filescdn.proginn.com/e83a817e5e9b18b2ef23082acadeecaa/0452d5d612d6b0d52a4a2b6ac9a0ce1a.webp)
3、NN-SVG
一个在线工具,点点就阔以了:http://alexlenail.me/NN-SVG/LeNet.html
![](https://filescdn.proginn.com/0a5b9c2750a46f134a6da022569e8701/2af25269f2faf38476411f0b45ee7a8f.webp)
![](https://filescdn.proginn.com/b832d3c12650ac696f5c2b567219d9dc/adb92043a5c740a52eeaa8e4b6b8f974.webp)
![](https://filescdn.proginn.com/f97461233fcdfa3f90d892b02e85b461/f69fba4ca6c4faf2c9b399837329ad44.webp)
4、graphcore
回到神经网络最初的地方,像生物细胞神经元neurons一样展示神经网络。https://www.graphcore.ai/posts/what-does-machine-learning-look-like
![](https://filescdn.proginn.com/2dfae3bbdaf88dfdcdeb33d55c712b5c/0562c56a9f7291b66dc2236ce898816f.webp)
![](https://filescdn.proginn.com/ec039d33d6c90f0c94bcd9e2e6f45531/905a910d90a36753a9b8c1cfe39841c6.webp)
![](https://filescdn.proginn.com/db14ad4660052a7010b6880d8ad0f0a7/764c4a9bf7f1b3af3f7b5e9ee68caf9e.webp)
5、graphviz
http://www.graphviz.org/
之前介绍过一个类似绘制网络关系的工具👉盘一盘社交网络分析常用networks
![](https://filescdn.proginn.com/712c321cf2a8298412f1bc9779c5dd6f/d7a4bd59d27ecfabb0ad9eb9b8187c59.webp)
6、Keras
深度学习框架Keras下的一个小模块,
https://keras.io/api/utils/model_plotting_utils/
7、neataptic
https://github.com/wagenaartje/neataptic
![](https://filescdn.proginn.com/13755a07478794383815e32d5a75e40c/6d80fac38fa3f8f14f184c8cc6215280.webp)
8、Quiver
https://github.com/keplr-io/quiver
9、Keras.js
在线工具
https://transcranial.github.io/keras-js/#/inception-v3
10、Netscope CNN Analyzer
http://dgschwend.github.io/netscope/quickstart.html
11、keras-sequential-ascii
https://github.com/stared/keras-sequential-ascii/
VGG 16 Architecture
OPERATION DATA DIMENSIONS WEIGHTS(N) WEIGHTS(%)
Input ##### 3 224 224
InputLayer | ------------------- 0 0.0%
##### 3 224 224
Convolution2D \|/ ------------------- 1792 0.0%
relu ##### 64 224 224
Convolution2D \|/ ------------------- 36928 0.0%
relu ##### 64 224 224
MaxPooling2D Y max ------------------- 0 0.0%
##### 64 112 112
Convolution2D \|/ ------------------- 73856 0.1%
relu ##### 128 112 112
Convolution2D \|/ ------------------- 147584 0.1%
relu ##### 128 112 112
MaxPooling2D Y max ------------------- 0 0.0%
##### 128 56 56
Convolution2D \|/ ------------------- 295168 0.2%
relu ##### 256 56 56
Convolution2D \|/ ------------------- 590080 0.4%
relu ##### 256 56 56
Convolution2D \|/ ------------------- 590080 0.4%
relu ##### 256 56 56
MaxPooling2D Y max ------------------- 0 0.0%
##### 256 28 28
Convolution2D \|/ ------------------- 1180160 0.9%
relu ##### 512 28 28
Convolution2D \|/ ------------------- 2359808 1.7%
relu ##### 512 28 28
Convolution2D \|/ ------------------- 2359808 1.7%
relu ##### 512 28 28
MaxPooling2D Y max ------------------- 0 0.0%
##### 512 14 14
Convolution2D \|/ ------------------- 2359808 1.7%
relu ##### 512 14 14
Convolution2D \|/ ------------------- 2359808 1.7%
relu ##### 512 14 14
Convolution2D \|/ ------------------- 2359808 1.7%
relu ##### 512 14 14
MaxPooling2D Y max ------------------- 0 0.0%
##### 512 7 7
Flatten ||||| ------------------- 0 0.0%
##### 25088
Dense XXXXX ------------------- 102764544 74.3%
relu ##### 4096
Dense XXXXX ------------------- 16781312 12.1%
relu ##### 4096
Dense XXXXX ------------------- 4097000 3.0%
softmax ##### 1000
12、TensorBoard
一个评估深度学习框架TensorFlow模型的强力工具。
https://www.tensorflow.org/tensorboard/graphs
![](https://filescdn.proginn.com/cb80f663667f0c65b2a0e2bf5201f50f/48ad55b34022d0fa53033a0412eafba3.webp)
13、Caffe
同样是深度学习框架Caffe下的一个小工具,
https://github.com/BVLC/caffe/blob/master/python/caffe/draw.py
14、TensorSpace
3D模式展示神经网络,
https://tensorspace.org/
![](https://filescdn.proginn.com/3566af730ac624dba7f20e5b8f66f691/bc093e9a3de3f9c998bde8d1b3223fa5.webp)
![](https://filescdn.proginn.com/abdb039df88fc77edf7d5468d5f4ed1b/bca5943d07924cdd034195835735a95a.webp)
![](https://filescdn.proginn.com/8936c1bb6548c5da13c94c533cac0f3e/f8b0ce874040716940f4512e7d692423.webp)
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