Gwena Cunha Sergio

Gwenaelle Cunha Sergio works as a deep learning software engineer at NVIDIA. Before that, she was a doctoral student at Kyungpook National University in South Korea, working on deep-learning-based approaches for noisy natural language processing tasks and sequence generation from multimodal data. Gwenaelle's research interests include neural network inference acceleration, computer vision, and natural language tasks. She's also passionate about open-source coding. She received a bachelor's degree from the Federal University of Rio Grande do Norte (UFRN), Brazil, during which time she also participated in the Science Without Borders exchange program at Brown University, USA.

Posts by Gwena Cunha Sergio

Technical Walkthrough 1

Accelerating Quantized Networks with the NVIDIA QAT Toolkit for TensorFlow and NVIDIA TensorRT

We’re excited to announce the NVIDIA Quantization-Aware Training (QAT) Toolkit for TensorFlow 2 with the goal of accelerating the quantized networks with... 9 MIN READ