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学生对 Coursera Project Network 提供的 Optimize TensorFlow Models For Deployment with TensorRT 的评价和反馈

45 个评分
9 条评论


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....



1 - Optimize TensorFlow Models For Deployment with TensorRT 的 9 个评论(共 9 个)

创建者 Jorge G

Feb 25, 2021

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.

创建者 Awais A

Mar 28, 2021

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

创建者 Luis S

Jun 4, 2021

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

创建者 Fabian I M N

Apr 20, 2021

Excelent and compresed way of explaining TensorRT

创建者 Nusrat I

Apr 16, 2021

Awesome project. Thank you so much.

创建者 Chandra S

Dec 13, 2020

Excellent guided course


Sep 10, 2020

Very good...

创建者 Vignesh R

Jul 8, 2021

Need more theoretical explanation on concepts

创建者 Yilber R

Oct 1, 2020