Deep Neural Network Library

The library supports various neural network architectures, efficient training tools, and robust inference methods. Key features include:

• high performance: optimized for fast training and inference using modern hardware;
• progressive weight saving: supports saving calculated weights during training;
• custom topologies: build networks with any topology.

For more details, visit the Github repository.