Description: RADENNX is a domain-specific language (DSL) designed for the rapid development of neural networks, particularly for classification and regression problems. Initially named RADENN, it was implemented using ANTLR4 to provide a structured and efficient way to define neural network architectures with simplicity and flexibility. This project is based on a research paper titled RADENN, and the link to the paper is provided below.
README.md:
RADENNX is a domain-specific language (DSL) built for the rapid development of neural networks, specifically for classification and regression tasks. It provides a structured syntax to define network architectures efficiently and is implemented using ANTLR4.
This project is based on a research paper titled RADENN. You can read the original paper at:
https://ieeexplore.ieee.org/abstract/document/10207040
- Simple and intuitive DSL syntax for defining neural networks
- Supports classification and regression problems
- Built using ANTLR4 for robust parsing
- Facilitates quick prototyping and experimentation