Learner Reviews & Feedback for Custom Prediction Routine on Google AI Platform by Coursera Project Network
4.6
stars
426 ratings
About the Course
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....
Top reviews
AB
Jan 8, 2023
It helps me to understand Ai prediction routine.
its really helpful for my career as well as knowledge
PP
Apr 24, 2020
it was nice experience . the best thing you will learn that it is not much hard as wethink.
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76 - 86 of 86 Reviews for Custom Prediction Routine on Google AI Platform
By Sapna D
•
Jul 13, 2020
That's fine
By Pawan K
•
May 8, 2020
Awesome...
By 19EC114-Vignesh M
•
Jun 24, 2020
Better
By LAKKIRAM E
•
Jul 22, 2020
nice
By Kartheek P
•
Jul 5, 2020
nice
By KATRU V
•
Jun 6, 2020
good
By Bhosale D B
•
May 19, 2020
Good
By Ali A
•
Jun 9, 2020
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.
By RAHUL D
•
Apr 30, 2020
if you could provide source code file
By Mahendra R
•
Apr 27, 2020
Good
By Jason G
•
Jul 19, 2023
The VM for this course did not work correctly. I was unable to do any of it.