A curated collection of notes and references for deploying deep learning models.
This repository offers practical resources for putting deep learning models into production. It covers converting PyTorch models, serving them via Flask APIs, and integrating them into C++ environments, with examples like deploying a hotdog recognition model.
A curated collection of notes and references for deploying deep learning models.
Machine learning engineers and developers looking to productionize their deep learning projects.