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Voltar para Custom Prediction Routine on Google AI Platform

Comentários e feedback de alunos de Custom Prediction Routine on Google AI Platform da instituição Coursera Project Network

418 classificações
85 avaliações

Sobre o curso

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....

Melhores avaliações


24 de abr de 2020

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


24 de abr de 2020

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

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51 — 75 de 83 Avaliações para o Custom Prediction Routine on Google AI Platform

por Yedke a A

25 de abr de 2020

Very nice

por Anant N

14 de jun de 2020


por Meet V P

17 de mai de 2020



25 de abr de 2020

Do well


18 de mai de 2020


por k j

2 de jul de 2020


por Pravendra S

29 de jun de 2020


por p s

24 de jun de 2020


por Vajinepalli s s

17 de jun de 2020


por Chandra k K

8 de jun de 2020



4 de jun de 2020


por Sai K R K

26 de mai de 2020



23 de mai de 2020



1 de jun de 2020



26 de mai de 2020


por An T

14 de mai de 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.

por srinivas d

5 de jun de 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.

por Aditya P

1 de jun de 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

por Jojo W

26 de mai de 2020

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

por Li-Ting T

13 de jul de 2020

Just walkthrough online documents


2 de jun de 2020

very helpful and interesting

por Mohit K 1

31 de mai de 2020

Its a nice project course

por sagar s

20 de mai de 2020

it was pretty good....

por Sapna D

13 de jul de 2020

That's fine

por Pawan K

8 de mai de 2020