Build Your Own Inference Engine: From Scratch to "7"

An inference engine turns a saved neural network into executable calculations. This C++ tutorial builds a small CPU engine for recognizing handwritten digits: it loads the model’s learned weights and operations, connects operations by their inputs and outputs, and orders them so each calculation has the results it needs. That ordering matters when two branches must finish before their outputs can be added. The engine then runs an image through the network and selects the highest-scoring digit. Its deliberately limited set of four supported operations makes the machinery behind a prediction understandable.