Chevron Left
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:

26–50 из 83 отзывов о курсе Custom Prediction Routine on Google AI Platform


28 мая 2020 г.

This course is excellent


25 мая 2020 г.

It's very nice course 👍

автор: Jariwala M

14 мая 2020 г.

It was very informative.

автор: Bhaskar B w

9 мая 2020 г.

I am Helpfull

this corse

автор: Himadri N B

13 мая 2020 г.

Wonderful experience

автор: Gangone R

5 июля 2020 г.

very useful course

автор: Doss D

14 июня 2020 г.

Thank u very much

автор: Sumara I M

21 мая 2020 г.

great and useful

автор: Куневич Е Е

3 сент. 2020 г.

Nice course)))

автор: XAVIER S M

31 мая 2020 г.

good and best

автор: Aman K

6 июня 2020 г.

super course

автор: Aulia R P

22 сент. 2020 г.

good course

автор: Ankita S

8 мая 2020 г.

Nice course

автор: Londhe P A n

7 мая 2020 г.

Nice course


7 мая 2020 г.

very nice

автор: SANTOSH K

27 апр. 2020 г.

Very Good

автор: PODUGU S C

29 сент. 2020 г.


автор: SASI V T

9 июля 2020 г.


автор: Anitha V

9 июля 2020 г.



27 июня 2020 г.


автор: Gopika T

20 июня 2020 г.


автор: Pooja R

16 июня 2020 г.


автор: VIVEK K

16 июня 2020 г.


автор: Nilmani

27 мая 2020 г.


автор: Rishabh R

5 мая 2020 г.