gobrain

The library offers simple methods like Init, Train, and Test, making it easy to build and evaluate neural networks with minimal code, as shown in the XOR example.

Written purely in Go, it integrates seamlessly into Go projects without external dependencies or cross-language overhead, keeping setups lightweight.

Developers can adjust learning rates, momentum, and epochs directly in the Train method, allowing fine-grained control over model behavior.

Provides functions to save trained networks to files and reload them, as demonstrated in the examples folder, facilitating reuse and deployment.