如何查看神经网络结构，查看pb,config,onnx,h5,hd5,hdf5,json,keras,mlmodel,caffemodel,model等

标题如何查看神经网络结构，查看pb,config,onnx,h5,hd5,hdf5,json,keras,mlmodel,caffemodel,model等

查看神经网络文件的网络结构

https://github.com/lutzroeder/Netronhttps://github.com/lutzroeder/Netron

Netron

下载地址已给出

Netron 支持 ONNX (.onnx, .pb, .pbtxt), Keras (.h5, .keras), Core ML (.mlmodel), Caffe (.caffemodel, .prototxt), Caffe2 (predict_net.pb, predict_net.pbtxt), MXNet (.model, -symbol.json), ncnn (.param) and TensorFlow Lite (.tflite)
(.pt, .pth), PyTorch (.pt, .pth), Torch (.t7), Arm NN (.armnn), BigDL (.bigdl, .model), Chainer, (.npz, .h5), CNTK (.model, .cntk), Deeplearning4j (.zip), Darknet (.cfg), ML.NET (.zip), MNN (.mnn), OpenVINO (.xml), PaddlePaddle (.zip, model), scikit-learn (.pkl), TensorFlow.js (model.json, .pb) and TensorFlow (.pb, .meta, .pbtxt, .ckpt, .index).

安装（根据系统）：具体见链接内
macOS: Download the .dmg file or run brew cask install netron
Linux: Download the .AppImage file or run snap install netron
Windows: Download the .exe installer.
Browser: Start the browser version.
Python Server: Run pip install netron and netron [FILE] or import netron; netron.start(’[FILE]’).