NeuroVision-DO is a computer vision project built using PyTorch that focuses on efficient and transparent visual learning. The project establishes a clean training and validation pipeline for image classification, with all experiments tracked using Weights & Biases. This setup allows clear analysis of training dynamics, validation performance, and optimization behavior, while remaining extensible to biologically inspired dendritic optimization techniques.

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