essential classes such as Value, Layer, and MLP (Multi-Layer Perceptron). The library in- cludes examples demonstrating its usage, such as a simplemulti-layer perceptron (MLP) and a computer vision applica- tion gradient computation, facilitating the construction and training of complex network architectures. MLP Class: The MLP class represents a multi-layer percep- tron, composed of multiple layers. It supports the training parameters. VI. SUPPORTING MATERIAL A. Results and Performance Metrics The multi-layer perceptron (MLP) example provided in the library demonstrates successful training, as evidenced by the gradual decrease