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Вернуться к Custom Prediction Routine on Google AI Platform

Отзывы учащихся о курсе Custom Prediction Routine on Google AI Platform от партнера Coursera Project Network

Оценки: 417
Рецензии: 85

О курсе

Please note: You will need a Google Cloud Platform account to complete this course. Your GCP account will be charged as per your usage. Please make sure that you are able to access Google AI Platform within your GCP account. You should be familiar with python programming, and Google Cloud Platform before starting this hands on project. Please also ensure that you have access to the custom prediction routine feature in Google AI Platform. In this 2-hour long project-based course, you will learn how to deploy, and use a model on Google’s AI Platform. Normally, any model trained with the TensorFlow framework is quite easy to deploy, and you can simply upload a Saved Model on Google Storage, and create an AI Platform model with it. But, in practice, we may not always use TensorFlow. Fortunately, the AI Platform allows for custom prediction routines as well and that’s what we are going to focus on. Instead of converting a Keras model to a TensorFlow Saved Model, we will use the h5 file as is. Additionally, since we will be working with image data, we will use this opportunity to look at encoding and decoding of byte data into string for data transmission and then encoding of the received data in our custom prediction routine on the AI Platform before using it with our model. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed. 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....

Лучшие рецензии

24 апр. 2020 г.

it was nice experience . the best thing you will learn that it is not much hard as wethink.

24 апр. 2020 г.

Coursera has a great opportunity to utilise for every one in course ... thank you coursera

Фильтр по:

51–75 из 83 отзывов о курсе Custom Prediction Routine on Google AI Platform

автор: Yedke a A

25 апр. 2020 г.

Very nice

автор: Anant N

14 июня 2020 г.


автор: Meet V P

17 мая 2020 г.



25 апр. 2020 г.

Do well

автор: BATTU P T

18 мая 2020 г.


автор: k j

2 июля 2020 г.


автор: Pravendra S

29 июня 2020 г.


автор: p s

24 июня 2020 г.


автор: Vajinepalli s s

17 июня 2020 г.


автор: Chandra k K

8 июня 2020 г.



4 июня 2020 г.


автор: Sai K R K

26 мая 2020 г.



23 мая 2020 г.


автор: PONDARA K

1 июня 2020 г.



26 мая 2020 г.


автор: An T

14 мая 2020 г.

Very good introductory course on how to deploy a model on GCP. However, the project was a bit short in my opinion. Some steps are not explained thoroughly on why we do things in certain ways. But overall, this project gave me a really good learning experience and exposure to GCP.

автор: srinivas d

5 июня 2020 г.

It would be good if it allows to ask questions, I got the response as invaid due to some unknown issue, how to resolve this error, why i got this error? It is good if you explains you might get these type of errors and how to resolve those errors also included.

автор: Aditya P

1 июня 2020 г.

thank you for giving some basic knowledge in google AI but i requst you guys to do this with online live classes so that from different field persons like mechanical , civil will also learn nd get it clearly thank you .! but it was so good

автор: Jojo W

26 мая 2020 г.

The VDO files are not like what I see on the current GCP. It's quite hard to follow the instructor.

автор: Li-Ting T

13 июля 2020 г.

Just walkthrough online documents


2 июня 2020 г.

very helpful and interesting

автор: Mohit K 1

31 мая 2020 г.

Its a nice project course

автор: sagar s

20 мая 2020 г.

it was pretty good....

автор: Sapna D

13 июля 2020 г.

That's fine

автор: Pawan K

8 мая 2020 г.