Chevron Left
Custom Prediction Routine on Google AI Platform(으)로 돌아가기

Coursera Project Network의 Custom Prediction Routine on Google AI Platform 학습자 리뷰 및 피드백

419개의 평가

강좌 소개

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....

최상위 리뷰


2020년 4월 24일

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


2020년 4월 24일

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

필터링 기준:

Custom Prediction Routine on Google AI Platform의 83개 리뷰 중 51~75

교육 기관: Yedke a A

2020년 4월 25일

Very nice

교육 기관: Anant N

2020년 6월 14일


교육 기관: Meet V P

2020년 5월 17일



2020년 4월 25일

Do well

교육 기관: BATTU P T

2020년 5월 18일


교육 기관: k j

2020년 7월 2일


교육 기관: Pravendra S

2020년 6월 29일


교육 기관: p s

2020년 6월 24일


교육 기관: Vajinepalli s s

2020년 6월 17일


교육 기관: Chandra k K

2020년 6월 8일



2020년 6월 4일


교육 기관: Sai K R K

2020년 5월 26일



2020년 5월 23일


교육 기관: PONDARA K

2020년 6월 1일



2020년 5월 26일


교육 기관: An T

2020년 5월 14일

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.

교육 기관: srinivas d

2020년 6월 5일

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.

교육 기관: Aditya P

2020년 6월 1일

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

교육 기관: Jojo W

2020년 5월 26일

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

교육 기관: Li-Ting T

2020년 7월 13일

Just walkthrough online documents


2020년 6월 2일

very helpful and interesting

교육 기관: Mohit K 1

2020년 5월 31일

Its a nice project course

교육 기관: sagar s

2020년 5월 20일

it was pretty good....

교육 기관: Sapna D

2020년 7월 13일

That's fine

교육 기관: Pawan K

2020년 5월 8일