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Отзывы учащихся о курсе Optimize TensorFlow Models For Deployment with TensorRT от партнера Coursera Project Network

4.6
звезд
Оценки: 45
Рецензии: 9

О курсе

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....

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1–9 из 9 отзывов о курсе Optimize TensorFlow Models For Deployment with TensorRT

автор: Jorge G

25 февр. 2021 г.

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.

автор: Awais A

28 мар. 2021 г.

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

автор: Luis S

4 июня 2021 г.

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

автор: Fabian I M N

20 апр. 2021 г.

Excelent and compresed way of explaining TensorRT

автор: Nusrat I

16 апр. 2021 г.

Awesome project. Thank you so much.

автор: Chandra S

13 дек. 2020 г.

Excellent guided course

автор: ERNAZAROV B T O

10 сент. 2020 г.

Very good...

автор: Vignesh R

8 июля 2021 г.

Need more theoretical explanation on concepts

автор: Yilber R

1 окт. 2020 г.

excellent