Chevron Left
Voltar para AutoML for Computer Vision with Microsoft Custom Vision

Comentários e feedback de alunos de AutoML for Computer Vision with Microsoft Custom Vision da instituição Coursera Project Network

4.7
estrelas
55 classificações
15 avaliações

Sobre o curso

Welcome to this hands-on project on using Microsoft’s Custom Vision service for automated machine learning or AutoML as it’s popularly known. In this project, you are going to use Microsoft’s drag and drop tool to train your computer to recognize images of dogs and cats. We are going to do all of this without writing a single line of code! To take this guided-project, you do not need a background in computer science, machine learning or coding. The only prerequisite for this project is that you have a Microsoft Azure account. If you don’t already have one, you will have to sign up for it. 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

Filtrar por:

1 — 15 de 15 Avaliações para o AutoML for Computer Vision with Microsoft Custom Vision

por sandhya R

Jun 05, 2020

My first Guided project, it is very good we have a cloud interface side by side so that we can practice the tasks by pausing instructor video instruction and continue with you own pace. NO hassels to install software to setup development environment.

por Abhishek P G

Jun 17, 2020

I am grateful to have the chance to participate in an online course like this!

por msbaljikumar

Jun 27, 2020

Hi im msbalaji .. i happy to learn this course

por P S N

Jun 24, 2020

It is useful for present technologies

por Anup D

Jun 02, 2020

thanks sir for giving such tutorial

por SHANKAR

Jun 11, 2020

ITS REALLY VERY COOL TO LEARN

por Kazi i u m s

Jun 02, 2020

You are vary good plat form

por Sri V C

Jun 06, 2020

useful...

por p s

Jun 24, 2020

Good

por Rajasekhar N

Jun 22, 2020

good

por Vajinepalli s s

Jun 16, 2020

nice

por MR. J T R A

Jun 15, 2020

Good

por Ashutosh R K

Jun 01, 2020

good

por SheetalSPatil

May 29, 2020

overall good

por Rajeev M

May 25, 2020

N