Core ML Tutorial: Create a Simple Machine Learning App - Image Classification

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This tutorial is a simple introduction into how to use Core ML in Xcode 9. We are going to create a demo app for image classification with the GoogLeNet Machine Learning Model.

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If you have questions about the video or Cocoa programming, please comment below.

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Great Tutorial Respect from Lahore Pakistan

lettechtutorials

what there a pause at 3:11 ? I thought I lost connection...how does Swift compare to python in ML ? Whats the general view

sandeepvk

Thanks for the fast delivery tutorials mate.

soywil

Could you do a tutorial on how to setup an iOS project with tensorflow?

TheOtenify

Hello Sir StartFile is not available Pls Provide this Thank You . !!!

YogeshPateliOS

Fantastic ! Thanks for being that quick !!

AtomicImperator

Nice nice! Cool to see tutorials with this new topics!

BenjaminPfammatter

Hi! I cannot find the GoogleNet Model anymore on the Model page! Which one can I use instead in order to complete your tutorial? Thanks!

VaultBoy

Thank you for this exciting tutorial) Can someone give some examples - where and how this kind of machine learning can be implemented in apps?

slavaslutsker

Hello,
This is a great demo, but sorry to say that but on checking for other images of size greater than 224 x 224 pixels the demo is going crash. Can you help me out why this is happening.
Thank you.

pratik.ghadia

We can build model for numerical classification or only for imges ?

mr.bilalabdualgalil

Can we get found object coordinates? Or in this model we just have plain categories? Are there any another models/ways to get this data?
Thanks for the responce and for the great tutorial!

eugenechechkov

Thanks for the Brian. Just knowing that by using VNCoreMLRequest and VNImageRequestHandler you don't have to do UIImage to CVPixelBuffer

Memtimen

Hey Brian, can you do another core data tutorial ? Great video.

christopheprat

Thank you so much Brian, I learnt a lot from you <3

rawandahmad

Wow!!! I'm very happy! Thank you for review and tutorial! ;-)

ilia_fedoroff

Hello Brian,

I must say, it's a great video. Have few questions regarding privacy of the mlmodel files.

I am trying to build a library which will be empowered with few object detection features. But, limitation that I found is, we have to keep the mlmodel files in the iOS apps which are using the library, along with metal files.

Is there any way I can make these as protected and private to the library only?

Thanks in advance
Swagat

zennyzania

Glad I study computer science and actually know what a GoogLeNet, a ResNet and a VGG net is. I'm curious why they didn't include an AlexNet Model, it's kind of THE conv not for image classification.

Great to see that Apple provides support to convert models from caffe and other popular ml frameworks. This is kinda really where I feel, that iOS is superior to Android as a developer.

Btw the GoogLeNet is more pronounced like Goog Le Net. It's googles version of a LeNet, originally proposed by Yan LeCun back in the 90s (he's leading Facebooks AI department now)

WuschelofDespair

Hey Brian, thanks for the great tutorials, can you make a video about Core ML vision? And especially the text detection one?

rawandahmad

can u do vision framework that get paper recognition and rectangleRequest for us and crop the paper from camera... somthing like wwdc 2017 session 506 apple talks a little but they didnt upload the source sample code.
Tnx a lot

dudestalk

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