Preparing State-of-the-Art Models for Classification and Object Detection with the NVIDIA Transfer Learning Toolkit

Originally published at: Preparing State-of-the-Art Models for Classification and Object Detection with the NVIDIA Transfer Learning Toolkit | NVIDIA Developer Blog

Accuracy is one of the most important metrics for deep learning models. Greater accuracy is a prerequisite for deploying the trained models to production to solve real-world problems reliably and effectively. Creating highly accurate models from scratch is time-consuming and capital-intensive. As a result, companies with limited data and resources struggle to get their AI…