- Tensorflow
- Model Deployment
- Keras (Neural Network Library)
- Deep Learning
- Performance Tuning
- Convolutional Neural Networks
- Applied Machine Learning
- Python Programming
Optimize TensorFlow Models For Deployment with TensorRT
Completed by Javid Hussain
November 28, 2021
2 hours (approximately)
Javid Hussain'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
