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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