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學生對 Coursera Project Network 提供的 Custom Prediction Routine on Google AI Platform 的評價和反饋

4.6
384 個評分
81 條評論

課程概述

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....

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PP

Apr 25, 2020

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

SS

Apr 25, 2020

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

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51 - Custom Prediction Routine on Google AI Platform 的 75 個評論(共 79 個)

創建者 BATTU P T

May 18, 2020

Custom

創建者 k j

Jul 02, 2020

good

創建者 Pravendra S

Jun 29, 2020

nice

創建者 p s

Jun 25, 2020

Good

創建者 Vajinepalli s s

Jun 17, 2020

NICE

創建者 Chandra k K

Jun 08, 2020

good

創建者 AISHWARYA V

Jun 04, 2020

good

創建者 Sai K R K

May 26, 2020

good

創建者 MADIREDDY L M

May 23, 2020

Nice

創建者 PONDARA K

Jun 01, 2020

5

創建者 MANIKANTA S

May 26, 2020

5

創建者 An T

May 14, 2020

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.

創建者 srinivas d

Jun 05, 2020

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.

創建者 Aditya P

Jun 01, 2020

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

創建者 Wittaya P (

May 26, 2020

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

創建者 Li-Ting T

Jul 13, 2020

Just walkthrough online documents

創建者 NIRNIMESH D

Jun 02, 2020

very helpful and interesting

創建者 Mohit k

May 31, 2020

Its a nice project course

創建者 sagar s

May 20, 2020

it was pretty good....

創建者 Sapna D

Jul 13, 2020

That's fine

創建者 Pawan K

May 08, 2020

Awesome...

創建者 Vignesh M

Jun 24, 2020

Better

創建者 LAKKIRAM E

Jul 22, 2020

nice

創建者 Kartheek P

Jul 05, 2020

nice

創建者 KATRU V

Jun 06, 2020

good