- Convolutional Neural Networks
- Deep Learning
- Performance Tuning
- Model Deployment
- Tensorflow
- Python Programming
- Keras (Neural Network Library)
- Applied Machine Learning
Optimize TensorFlow Models For Deployment with TensorRT
Completed by NURBOLAT SAGITZHAN
May 18, 2023
2 hours (approximately)
NURBOLAT SAGITZHAN'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
