返回到 Custom Prediction Routine on Google AI Platform
學生對 Coursera Project Network 提供的 Custom Prediction Routine on Google AI Platform 的評價和反饋
418 個評分
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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76 - Custom Prediction Routine on Google AI Platform 的 83 個評論（共 83 個）
創建者 Vignesh M
•2020年6月24日
Better
創建者 LAKKIRAM E
•2020年7月22日
nice
創建者 Kartheek P
•2020年7月5日
nice
創建者 KATRU V
•2020年6月6日
good
創建者 Bhosale D B
•2020年5月19日
Good
創建者 Ali A
•2020年6月9日
differences between custom routine prediction and ordinary model might be explained. Pricing model of this facility is also important key topic that people might interest.
創建者 RAHUL D
•2020年4月30日
if you could provide source code file
創建者 Mahendra R
•2020年4月27日
Good
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