Chevron Left
Optimize TensorFlow Models For Deployment with TensorRT(으)로 돌아가기

Coursera Project Network의 Optimize TensorFlow Models For Deployment with TensorRT 학습자 리뷰 및 피드백

55개의 평가
10개의 리뷰

강좌 소개

This is a hands-on, guided project on optimizing your TensorFlow models for inference with NVIDIA's TensorRT. By the end of this 1.5 hour long project, you will be able to optimize Tensorflow models using the TensorFlow integration of NVIDIA's TensorRT (TF-TRT), use TF-TRT to optimize several deep learning models at FP32, FP16, and INT8 precision, and observe how tuning TF-TRT parameters affects performance and inference throughput. Prerequisites: In order to successfully complete this project, you should be competent in Python programming, understand deep learning and what inference is, and have experience building deep learning models in TensorFlow and its Keras API. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

최상위 리뷰


2021년 6월 3일

Great workshop, all the concepts were very well explained.


2022년 3월 14일

The first to introduce such a rare and important topic.

필터링 기준:

Optimize TensorFlow Models For Deployment with TensorRT의 10개 리뷰 중 1~10

교육 기관: Awais A

2021년 3월 28일

This is something that I was looking for. I've studied a lot of theories about TensorRT but this project gives a clear view of how to do it. Good job, and thanks for the awesome course.

One last thing, Please upload the TensorRT deployment of TensorFlow object detection on Jetson devices. That would be helpful

교육 기관: Jorge G

2021년 2월 25일

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.

교육 기관: Luis S

2021년 6월 4일

G​reat workshop, all the concepts were very well explained.

교육 기관: Abdelrahman A

2022년 3월 15일

T​he first to introduce such a rare and important topic.

교육 기관: Fabian I M N

2021년 4월 20일

Excelent and compresed way of explaining TensorRT

교육 기관: Nusrat I

2021년 4월 16일

Awesome project. Thank you so much.

교육 기관: Chandra S

2020년 12월 13일

Excellent guided course


2020년 9월 10일

Very good...

교육 기관: Vignesh R

2021년 7월 8일

Need more theoretical explanation on concepts

교육 기관: Yilber R

2020년 10월 1일