Build Neural Networks Visually — Export Production Code
VisionForge is a powerful visual neural network builder that lets you design complex deep learning architectures through an intuitive drag-and-drop interface. Perfect for researchers, students, and ML engineers who want to rapidly prototype models.
- 🎨 Drag-and-drop interface — Build CNNs, LSTMs, ResNets visually
- ⚡ Automatic shape inference — No manual tensor dimension tracking
- 🔄 Multi-framework export — PyTorch or TensorFlow with one click
- 🤖 AI-powered assistant — Ask questions or modify your model with natural language
- ✅ Real-time validation — Catch architecture errors before export
- 🎯 Group blocks — Create reusable custom components
- Install VisionForge following our Installation Guide
- Launch the application and open your browser to
http://localhost:5173 - Create your first model using our Quick Start Guide
- Learn architecture rules in Layer Connection Rules
- Installation Guide - Set up VisionForge on your system
- Quick Start - Build your first neural network
- Interface Overview - Understand the workspace
- Creating Architecture Diagrams - Learn visual model building
- Layer Connection Rules - Understand which layers connect
- Shape Inference - How tensor dimensions are computed
- Validation System - Real-time error checking
- Input Layers - Data input configurations
- Core Layers - Convolutional, Linear, and basic operations
- Activation Functions - Non-linear transformations
- Pooling Layers - Dimensionality reduction
- Merge Operations - Combining multiple paths
- Advanced Layers - Specialized operations
- Simple CNN - Basic image classification
- ResNet Architecture - Skip connections
- LSTM Networks - Sequence modeling
- Custom Group Blocks - Reusable components
- Group Blocks - Create custom layer groups
- AI Assistant - Natural language help
- Project Sharing - Collaborate with others
graph LR
A[Drag & Drop Blocks] --> B[Configure Parameters]
B --> C[Validate Architecture]
C --> D[Export Code]
style A fill:#e3f2fd,stroke:#2196f3
style B fill:#e3f2fd,stroke:#2196f3
style C fill:#e3f2fd,stroke:#2196f3
style D fill:#e3f2fd,stroke:#2196f3
- Add layers from the sidebar palette
- Connect blocks to define data flow
- Configure parameters using the properties panel
- Validate your architecture with real-time checks
- Export production-ready code
| Framework | Status | Export Formats |
|---|---|---|
| PyTorch | ✅ Full Support | .py, .pt |
| TensorFlow | ✅ Full Support | .py, SavedModel |
| ONNX | 🚧 Coming Soon | .onnx |
VisionForge supports various neural network architectures:
- Convolutional Neural Networks (CNNs) - Image classification, object detection
- Recurrent Neural Networks (RNNs) - Sequence modeling, time series
- Transformer Networks - Attention mechanisms, NLP
- Custom Architectures - Mix and match any layers
- Group Blocks - Create reusable components
Ready to start building? → Quick Start Guide