GTC 2020: Transfer Learning Toolkit & Pre-Trained Models

GTC 2020 CWE21102
Presenters: Farzin-Aghdasi-,NVIDIA; Yu Wang and Anil Ubale, NVIDIA; Subhashree-Radhakrishnan and Anil, NVIDIA; Jeff, NVIDIA; Arihant-Jain, NVIDIA
Abstract
The NVIDIA Transfer Learning Toolkit is ideal for deep learning application developers and data scientists seeking a faster, more efficient deep learning training workflow for Intelligent Video Analytics (IVA). Transfer Learning Toolkit abstracts and accelerates deep learning training by allowing developers to fine-tune NVIDIA-provided, pre-trained models that are domain specific instead of going through the time-consuming process of building Deep Neural Networks (DNNs) from scratch. The pre-trained models accelerate the developer’s deep learning training process and eliminate the higher costs associated with large-scale data collection, labeling, and training models from scratch. We’ll show how to train, prune, and optimize popular models and create TRT engines.

Watch this session
Join in the conversation below.