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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
419 個評分
85 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

2020年4月24日

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

SS

2020年4月24日

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

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26 - Custom Prediction Routine on Google AI Platform 的 50 個評論(共 83 個)

創建者 CHAITRALI H B

2020年5月28日

This course is excellent

創建者 MATHPATI R R

2020年5月25日

It's very nice course 👍

創建者 Jariwala M

2020年5月14日

It was very informative.

創建者 Bhaskar B w

2020年5月9日

I am Helpfull

this corse

創建者 Himadri N B

2020年5月13日

Wonderful experience

創建者 Gangone R

2020年7月5日

very useful course

創建者 Doss D

2020年6月14日

Thank u very much

創建者 Sumara I M

2020年5月21日

great and useful

創建者 Куневич Е Е

2020年9月3日

Nice course)))

創建者 XAVIER S M

2020年5月31日

good and best

創建者 Aman K

2020年6月6日

super course

創建者 Aulia R P

2020年9月22日

good course

創建者 Ankita S

2020年5月8日

Nice course

創建者 Londhe P A n

2020年5月7日

Nice course

創建者 SHANTANU K

2020年5月7日

very nice

創建者 SANTOSH K

2020年4月27日

Very Good

創建者 PODUGU S C

2020年9月29日

Excellent

創建者 SASI V T

2020年7月9日

EXCELLENT

創建者 Anitha V

2020年7月9日

EXCELLENT

創建者 MANCHALA L

2020年6月27日

Excellent

創建者 Gopika T

2020年6月20日

Excellent

創建者 Pooja R

2020年6月16日

Excellent

創建者 VIVEK K

2020年6月16日

excellent

創建者 Nilmani

2020年5月27日

Excellent

創建者 Rishabh R

2020年5月5日

Excellent