October 28–31, 2019

Pengchong Jin
Senior Software Engineer, Google

Pengchong Jin is a senior software engineer on the TensorFlow-E2E team at Google Brain, focusing on computer vision model development. He works closely with various autonomous driving companies on delivering object detection E2E solution on TPU and TensorRT inference. Previously, he worked on developing the internal object detector to serve various Google products, including photos, lens, image search.

Sessions

2:30pm3:10pm Thursday, October 31, 2019
Location: Grand Ballroom E
Pengchong Jin (Google)
Pengchong Jin walks you through a typical development workflow on GCP for training and deploying an object detector to a self-driving car. He demonstrates how to train the state-of-the-art RetinaNet model fast using Cloud TPUs and scale up the model effectively on Cloud TPU pods. Pengchong also explains how to export a Tensor-RT optimized mode on GPU for inference. Read more.

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