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

Rhyme의 Custom Prediction Routine on Google AI Platform 학습자 리뷰 및 피드백

4.6
별점
164개의 평가
39개의 리뷰

강좌 소개

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. IMPORTANT: You will need an Google Cloud Platform account to complete this course. Your GCP account will be charged as per your usage. Prerequisites: In order to be successful in this project, you should be familiar with Python programming, Google Cloud Platform. 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....
필터링 기준:

Custom Prediction Routine on Google AI Platform의 43개 리뷰 중 1~25

교육 기관: Mohit b

Apr 17, 2020

Good platform to learn new things.

교육 기관: B L P

Apr 06, 2020

good

교육 기관: Tietiambou p d

Apr 01, 2020

Cool

교육 기관: KOPPULA A K R

Apr 14, 2020

good to start if you have basics of python adn tensorflow.

교육 기관: Pasupuleti N

Apr 24, 2020

How can I get my certificate

교육 기관: Nagamalleswara R J

May 15, 2020

The course "Custom Prediction Routine on Google A I Platform" is explained very well. Content is very useful to the Students. The knowledge is shared very well. The course coordinator tried in a best way, to transfer the concept of the above subject to all the learners in a well organized manner. Thank you.

교육 기관: Pragyan

Apr 25, 2020

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

교육 기관: Sai T P S

Apr 25, 2020

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

교육 기관: Chintalapudi S

Apr 28, 2020

Very excellent course for students and more quiz knowledge

교육 기관: Subhadeep D

May 04, 2020

Good course mainly for deployment purposes.

교육 기관: Rahul K

May 13, 2020

This is so helpful course site for lerner

교육 기관: LYZUL I A

May 21, 2020

Good Project Learning Google AI Platform

교육 기관: Gyanlok

May 09, 2020

Its really a great course for learner.

교육 기관: Vaishnavi M Y

Apr 24, 2020

This course is very useful and good.

교육 기관: mahesh a

May 08, 2020

Very good in teaching in short time

교육 기관: D.r : G M A

May 05, 2020

It was a great course ........

교육 기관: Saurav G

May 19, 2020

A very interactive course.

교육 기관: MATHPATI R R

May 25, 2020

It's very nice course 👍

교육 기관: Jariwala M

May 14, 2020

It was very informative.

교육 기관: Bhaskar B w

May 09, 2020

I am Helpfull

this corse

교육 기관: Himadri N B

May 13, 2020

Wonderful experience

교육 기관: Sumara I M

May 21, 2020

great and useful

교육 기관: Vishal Y

May 20, 2020

Good course

교육 기관: Ankita S

May 08, 2020

Nice course

교육 기관: Londhe P A n

May 07, 2020

Nice course