A work-in-progress C++ neural network library designed for building, training, and evaluating deep learning models. This project focuses on creating a high-performance, modular implementation perfect for research and experimentation.
- 🚀 Modern C++: Built with C++17 for optimal performance and clean code
- 🔧 Modular Architecture: Easily extensible design for adding custom Network Architectures as well as custom activations
- ⚡ Neural Network Components: Complete support for sub-networks, activation functions, loss computations, and more...
- 📦 CMake Ready: Seamless build system integration
- 🎯 Research Focused: Designed with experimentation and learning in mind
- 🧠 Integrated Visualizer: Real-time graphical display of layers, neurons, and activations. ideal for debugging, teaching, or showcasing model behavior
- 💾 Parameter Persistence: Save and load trained model parameters for reuse, testing, or deployment
- 🛠️ C++17-compatible compiler (GCC 7+, Clang 5+, MSVC 2017+)
- 📋 CMake 3.28 or later
# Clone the repository
git clone https://github.com/dredstone1/NeuralNetwork.git
# Navigate to project directory
cd NeuralNetwork
# Create and enter build directory
mkdir build && cd build
# Configure and build
cmake ..
makeNeuralNetwork/
├── 📂 src/ # Core library implementation
├── 📂 include/ # Public API headers
├── 📂 resources/ # Static assets
├── 📂 tests/ # Unit tests and validation
├── 📄 CMakeLists.txt
└── 📖 README.md
Contributions are more than welcome! Whether you're fixing bugs, adding features, or improving documentation:
- 🐛 Open issues for bugs or feature requests
- 🔀 Submit pull requests with your improvements
- 💡 Share ideas and suggestions
- 📖 Help improve documentation
This project is licensed under the MIT License. See the LICENSE file for complete details.
dredstone1 - GitHub Profile
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