- Deep Learning
- Python Programming
- Tensorflow
- Convolutional Neural Networks
- Performance Tuning
- Keras (Neural Network Library)
- Model Deployment
- Applied Machine Learning
Optimize TensorFlow Models For Deployment with TensorRT
Completed by Mateusz Sadowski-Zdunek
June 3, 2021
2 hours (approximately)
Mateusz Sadowski-Zdunek'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
