Optimize TensorFlow Models For Deployment with TensorRT
Completed by Chen-Hsuan Lin
October 1, 2024
2 hours (approximately)
Chen-Hsuan Lin's account is verified. Coursera certifies their successful completion of Optimize TensorFlow Models For Deployment with TensorRT
What you will learn
Optimize Tensorflow models using TensorRT (TF-TRT)
Use TF-TRT to optimize several deep learning models at FP32, FP16, and INT8 precision
Observe how tuning TF-TRT parameters affects performance and inference throughput
Skills you will gain
- Category: Python Programming
- Category: Performance Tuning
- Category: Model Deployment
- Category: Model Optimization
- Category: Deep Learning
- Category: Keras (Neural Network Library)
- Category: Tensorflow
