yatrmcnn
Yatrmcnn is a term encountered in online discussions and educational materials to denote a family of compact convolutional neural network designs intended for efficient image processing on edge devices. There is no official standard or widely adopted specification for yatrmcnn, and the term can refer to different architectures proposed independently by various authors.
Etymology and scope: The name is informal; 'yatr' is commonly interpreted as 'yet another', and 'mcnn' stands
Design characteristics: In descriptions, yatrmcnn variants emphasize lightweight feature extractors, typically using depthwise separable or grouped
Training and evaluation: Proposals for yatrmcnn models follow standard machine learning workflows, training on large-scale datasets
Applications and limitations: Yatrmcnn designs are typically aimed at real-time inference on mobile or embedded platforms,