CNN.c — Multi-Process Pipe-Based Training
A convolutional neural network written from scratch in C, trained data-parallel across processes over pipes.
Overview
A convolutional neural network implemented from scratch in C, with no machine learning frameworks — forward pass, backprop, and optimizer all hand-written. Training is data-parallel across multiple processes coordinated over pipes.
Details
- Implemented the CNN from scratch in C with no ML framework dependencies.
- Implemented multi-process data-parallel training with a binary parent/worker protocol for weight broadcasts and gradient collection.