Examples

Examples demonstrating real-world usage of visualkeras. Each example shows how to visualize different types of neural network architectures.

Example Gallery

• CNN Models
• Sequential Models
• Functional Models
• Custom Models
• LeNet View
• Advanced Features and Techniques

Explore Examples

CNN Models - Convolutional Neural Networks

• VGG-style architectures

• Custom CNNs

• Comparison of different CNN designs

Sequential Models - Simple, layer-by-layer models

• LeNet

• Dense networks

• Autoencoders

Functional Models - Complex, multi-path architectures

• Multi-input models

• Multi-output models

• Residual connections

• Inception-style modules

Custom Models - Advanced and specialized patterns

• Subclassed models

• Models with custom layers

• Hybrid architectures

LeNet View - Classic feature map stack visualizations

• LeNet-style rendering

• Publication-ready diagrams

• Stylized feature map views

Advanced Features - Tips, techniques, and deep dives

• Unified show() function

• Options objects for cleaner code

• Filtering and spacing

• Text annotations and customization

• Sizing strategies and dimension handling

• Color mapping and styling

• Batch processing and comparison

Quick Navigation

Looking for a specific model type?

• 🎨 First time? Start with Quickstart

• 🎓 Want to learn? Follow the Tutorials

• 📚 API reference? See API Reference

• ❓ Issues? Check GitHub Issues

All Examples

This section includes:

1. Source code - Copy-paste ready examples

2. Generated visualizations - Expected output images

3. Explanations - What each example demonstrates

4. Variations - Related approaches and alternatives