This is Digital Trendz's fork of the TensorFlow Playground project, an interactive visualization tool for neural networks. We've contributed enhancements to this educational platform as part of our commitment to advancing Business Intelligence and AI technologies.
Original Project: tensorflow/playground
Live Demo: playground.tensorflow.org
We've implemented the LeakyReLU activation function to enhance the educational value of the playground:
Features:
- Prevents "dying ReLU" problem in neural networks
- Allows small gradient flow for negative values (0.01 slope)
- Educational comparison with standard ReLU
- Fully integrated into the UI
Modified Files:
src/nn.ts- LeakyReLU implementation with derivativesrc/state.ts- State management registrationindex.html- UI dropdown integration
Testing Status: Tested with all datasets (Circle, XOR, Gaussian, Spiral)
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- Node.js 18.17 or later
- npm or yarn package manager
# Clone this repository
git clone https://github.com/dataswarmproject/playground.git
cd playground
# Install dependencies
npm install
# Run development server with auto-reload
npm run serve-watchOpen http://localhost:3000 to view the application.
# Create optimized production build
npm run build
# Serve production build
npm run serve- Language: TypeScript 2.9
- Visualization: D3.js v3.5.16
- UI Framework: Material Design Lite v1.3.0
- Build System: Browserify + Uglify-js
- Development: Watchify + Concurrently
playground/
├── src/
│ ├── playground.ts # Main application logic
│ ├── nn.ts # Neural network implementation (Modified)
│ ├── state.ts # State management (Modified)
│ ├── dataset.ts # Dataset generators
│ ├── heatmap.ts # Heatmap visualization
│ └── linechart.ts # Loss chart
├── index.html # UI structure (Modified)
├── styles.css # Styling
├── dist/ # Build output
└── package.json # Dependencies
- ReLU (Rectified Linear Unit)
- Tanh (Hyperbolic Tangent)
- Sigmoid
- Linear
- LeakyReLU (New - Digital Trendz Contribution)
- Circle classification
- XOR pattern
- Gaussian clusters
- Spiral pattern
- Regression (Plane, Gaussian)
- Learning rate adjustment
- Regularization (L1, L2)
- Batch size configuration
- Network architecture customization
- Noise level control
This contribution will be submitted as a pull request to the original TensorFlow Playground repository:
- Fork submitted: Complete
- Code implemented: Complete
- Testing completed: Complete
- Pull request: In progress
- Google CLA signed: Pending
Digital Trendz Achievements:
- 1000+ BI projects delivered
- 4 global offices (Algeria, USA, France, Russia)
- 50+ training courses available
- 6 custom platforms developed
- 100% enterprise client satisfaction
TensorFlow Playground:
- 12,600+ GitHub stars
- 2,700+ forks
- Used by students and educators worldwide
- Featured in ML courses globally
At Digital Trendz, we believe in:
- Knowledge Sharing - Contributing to the global tech community
- Education - Enhancing learning tools for future data scientists
- Innovation - Advancing AI and machine learning technologies
- Collaboration - Working with world-class developers and researchers
Open source contributions are part of our commitment to Re-defining Business Intelligence and fostering innovation in the AI/ML ecosystem.
Dr. Ahmed HALLOUB
Founder & Chief Data Scientist
Business Intelligence PhD & Psychometrician
With over 1000+ successful BI projects and a presence across 4 continents, Dr. Halloub leads Digital Trendz in delivering cutting-edge data solutions and fostering technological innovation.
For Business Inquiries:
- Email: bi@digital-trendz.net
- Phone: (+213) 554 227 641
- Website: www.digital-trendz.net
For Technical Issues:
- Open an issue in this repository
- Reference the original TensorFlow Playground issues
This project maintains the original Apache License 2.0 from TensorFlow Playground.
Original Work: Copyright © 2016 Google Inc.
Contributions: Copyright © 2025 Digital Trendz
See LICENSE for full details.
- Google & TensorFlow Team - For creating the original Playground
- Daniel Smilkov & Shan Carter - Original authors
- Open Source Community - For continuous improvements
- Digital Trendz Team - For the LeakyReLU contribution
- Laibraries.com - Academic research workspace
- Mimogram.com - Digital marketing marketplace
- Tawasool.com - Social media ecosystem
- LegalDZ.com - Legal intelligence platform
We plan to continue contributing to TensorFlow Playground with:
- Additional activation functions (Swish, ELU, GELU)
- Advanced optimizers (Adam, RMSprop)
- New educational datasets
- Performance optimizations
- Enhanced visualizations
Stay tuned for more contributions from the Digital Trendz team!
Built with ❤️ by Digital Trendz
Re-defining Business Intelligence, one project at a time.
Original TensorFlow Playground: playground.tensorflow.org