Accelerating Vision AI Applications Using NVIDIA Transfer Learning Toolkit and Pre-Trained Models

Learn how to make the process of creating vision AI models quicker and easier with NVIDIA Transfer Learning Toolkit and pre-trained models. Vision AI has been widely adopted across various industries, ranging from smart cities to retail to hospitals to smart factories, to improve business efficiency and safety. Deploying vision AI apps requires deep learning models that are trained and adapted for specific use cases. Training both highly accurate and highly performant deep learning models is difficult. Transfer Learning Toolkit is a simplified AI toolkit for developers to train models with zero coding. We'll cover pre-trained models available on NGC and how developers can use those to fine-tune their own models. Developers can build high-performance models for inference by applying model pruning and INT8 quantization with TLT, which can reduce the effort required to train AI models and speed time to market.