Netron is a viewer for neural network, deep learning and machine learning models.
Netron supports ONNX (.onnx, .pb), Keras (.h5, .keras), CoreML (.mlmodel) and TensorFlow Lite (.tflite). Netron has experimental support for Caffe (.caffemodel), Caffe2 (predict_net.pb), MXNet (-symbol.json), TensorFlow.js (model.json, .pb) and TensorFlow (.pb, .meta).
macOS
Download the .dmg file or with Homebrew run brew cask install netron
Linux
Download the .AppImage or .deb file.
Windows
Download the .exe installer.
Browser
Start the browser version.
Python Server
Run pip install netron and netron [MODEL_FILE].
Serve a model in Python using import netron; netron.serve_file('my_model.onnx').
Sample model files you can download and open:
ONNX Models
Keras Models
CoreML Models
TensorFlow Lite Models
Caffe Models
Caffe2 Models
MXNet Models
TensorFlow models