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Learner Reviews & Feedback for Optimize TensorFlow Models For Deployment with TensorRT by Coursera Project Network

4.5
stars
73 ratings

About the Course

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....

Top reviews

LS

Jun 3, 2021

Great workshop, all the concepts were very well explained.

AA

Mar 14, 2022

The first to introduce such a rare and important topic.

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1 - 17 of 17 Reviews for Optimize TensorFlow Models For Deployment with TensorRT

By דמיטרי ב

May 16, 2023

Very nice project. The only note is that the installation of TensorRT is outdated. Just replace 'Install TensorFlow-GPU 2.0 and TensorRT Runtime:' section with the following. It may take some time to run.

%%bash

sudo apt install python3-libnvinfer

python3 -m pip install --upgrade tensorrt

The installation may be also verified by:

import tensorrt

print(tensorrt.__version__)

By 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

By 金姝含

Jun 15, 2023

good content, but some code is out of date, especially the package installation part.

By 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.

By Dmytro K

Aug 3, 2023

It's a very cool course, but it's outdated and underlying working environment won't let you proceed with practise just at the middle.

By Глеб Я

May 25, 2023

A lot has changed, float32 and float16 are now not faster than normal tensorflow. But but it is really good pipeline for model optimizing.

By Luis S

Jun 4, 2021

Great workshop, all the concepts were very well explained.

By Abdelrahman A

Mar 15, 2022

The first to introduce such a rare and important topic.

By Fabian I M N

Apr 20, 2021

Excelent and compresed way of explaining TensorRT

By Nusrat I

Apr 16, 2021

Awesome project. Thank you so much.

By Chandra S

Dec 13, 2020

Excellent guided course

By Fangwen T

Sep 12, 2023

Informative course

By Maftuna E

Sep 10, 2020

Very good...

By Vignesh R

Jul 8, 2021

Need more theoretical explanation on concepts

By Yilber R

Oct 1, 2020

excellent

By Amrith P

Dec 29, 2022

I expect for Coding and Implementation part but this is just theory based evaluation

By Daod R

Aug 12, 2023

Not working