October 28–31, 2019
Joohoon Lee
Principal Product Manager, NVIDIA
Joohoon Lee is a principal product manager for AI inference software at NVIDIA. Previously, he led the automotive deep learning software solutions team focusing on the production deployment of neural networks in DRIVE AGX platform using TensorRT. His expertise includes quantization, sparsity optimization, compilers, GPU, and AI accelerator architecture design. Joohoon received his BS and MS in electrical and computer engineering from Carnegie Mellon University.
Sessions
11:50am–12:30pm Wednesday, October 30, 2019
Location: Grand Ballroom H
Siddharth Sharma (NVIDIA),
Joohoon Lee (NVIDIA)
TensorFlow 2.0 offers high performance for deep learning inference through a simple API. Siddharth Sharma and Joohoon Lee explain how to optimize an app using TensorRT with the new Keras APIs in TensorFlow 2.0. You'll learn tips and tricks to get the highest performance possible on GPUs and see examples of debugging and profiling tools by NVIDIA and TensorFlow.
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