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 (.model, -symbol.json), TensorFlow.js (model.json, .pb) and TensorFlow (.pb, .meta).
macOS: Download the .dmg file or 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]. In Python run import netron and netron.browse('model.onnx').
Sample model files you can download and open:
ONNX Models: Inception v1, Inception v2, ResNet-50, SqueezeNet
Keras Models: resnet, tiny-yolo-voc
CoreML Models: MobileNet, Places205-GoogLeNet, Inception v3
TensorFlow Lite Models: Smart Reply 1.0 , Inception v3 2016
Caffe Models: BVLC AlexNet, BVLC CaffeNet, BVLC GoogleNet
Caffe2 Models: BVLC GoogleNet, Inception v2
MXNet Models: CaffeNet, SqueezeNet v1.1
TensorFlow models: Inception v3, Inception v4, Inception 5h