Netron 7.9.3
Visualizer for deep learning and machine learning models
Category: | Developer Tools |
Price: | Free |
Popularity: | Low |
Version String: | 7.9.3 |
Release Date: | 2024-09-29 |
Architecture: | Intel & AppleSilicon(ARM) |
Minimum OS: | macOS 10.15 |
Vendor Name: | Lutz Roeder |
Homepage: | github.com |
Version History 7.9.3
#{version_history}
Description:
Netron is a viewer for neural network, deep learning and machine
learning models.
Netron supports ONNX (.onnx, .pb, .pbtxt), KERAS (.h5, .keras), COREML
(.mlmodel), CAFFE2 (predict_net.pb, predict_net.pbtxt), MXNET (.model,
-symbol.json) and TENSORFLOW LITE (.tflite). Netron has experimental
support for CAFFE (.caffemodel, .prototxt), PYTORCH (.pth), TORCH (.t7),
CNTK (.model, .cntk), PADDLEPADDLE (__model__), DARKNET (.cfg),
SCIKIT-LEARN (.pkl), TENSORFLOW.JS (model.json, .pb) and TENSORFLOW
(.pb, .meta, .pbtxt).
Install
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 or
import netron; netron.start('').
Download Models
Sample model files to download and open:
- ONNX: resnet-18
- KERAS: tiny-yolo-voc
- COREML: faces_model
- TENSORFLOW LITE: smartreply
- MXNET: inception_v1
- CAFFE: mobilenet_v2
- TENSORFLOW: inception_v3