Netron: Neural Network Model Visualization

Netron is a viewer for neural network, deep learning and machine learning models. It’s an essential tool for understanding model architecture, layer structure, and parameter flow.

What It Does

Common Use Cases

Supported Formats

TensorFlow (SavedModel, .pb, checkpoint)
PyTorch (.pt, .pth)
ONNX (.onnx)
CoreML (.mlmodel)
TensorFlow Lite (.tflite)
Caffe (.caffemodel)
Keras (.h5, .keras)
And 30+ more...

How to Use

  1. Visit https://netron.app/
  2. Drag and drop your model file
  3. Explore the visualization:
    • Click nodes to see layer details
    • Hover over connections to see tensor shapes
    • Scroll to zoom, drag to pan
    • Right-click for options (properties, search)
  4. Use search (Ctrl/Cmd+F) to find specific layers

Pro Tips

Filter by layer name: Search for “conv”, “attention”, “lstm” to find specific layer types

Export visualization: Right-click layers → Export as image for documentation

Check input/output shapes: Critical for TensorFlow.js integration - verify expected tensor dimensions

Compare models: Open multiple browser tabs to side-by-side compare architectures

Offline use: Works offline after initial load - no internet required

Use Cases in Your Work

Resources

→ Open Netron App → GitHub Repository


Need help visualizing your models? Schedule a consultation or email me