#mobileML - Twitter Hashtag

over 1 year ago

#LSPPDay55 Integrated mobilenetv2 Model directly on mobile. Used ImageNet norm, center crop, softmax, Top-K predictions, and Confidence check & fallback. This is huge for on-device #AI! 🤯 #ONNX #Flutter #MobileML #App @lftechnology #60DaysOfLearning2025 #LearningWithLeapfrog

KishanP07684084's tweet photo. #LSPPDay55
Integrated mobilenetv2 Model directly on mobile. Used ImageNet norm, center crop, softmax, Top-K predictions, and Confidence check & fallback. This is huge for on-device #AI! 🤯
#ONNX #Flutter #MobileML #App
@lftechnology
#60DaysOfLearning2025 #LearningWithLeapfrog https://t.co/5EIrXoAcu7

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Mayank Bhaskar

@cataluna84

over 5 years ago

Pie & AI: Bangalore - Deep Learning on Mobile, A Practitioner's Guide by @AnirudhKoul https://t.co/AprrDMJ7vr #MobileML #DeepLearning #CoreML #CreateML #TFLite

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Avi @Being_Avinav

over 5 years ago

Thanks #MKBHD and #google #ceo, #sundarpichai , one of the top influencers, for tweeting about our #success with #portrait mode in #samsung #galaxys21 with the help of #AI and pushing the bounds of #innovation in the field of #computervision #ArtificialIntelligence #mobileML

Being_Avinav's tweet photo. Thanks #MKBHD and #google #ceo, #sundarpichai , one of the top influencers, for tweeting about our #success with #portrait mode in #samsung #galaxys21 with the help of #AI and pushing the bounds of #innovation in the field of #computervision #ArtificialIntelligence #mobileML https://t.co/gdmWT8NpOy

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Avi @Being_Avinav

almost 6 years ago

Really Excited to see my solution for AI Matting being portrayed as one of the Camera USP features and being a major contributor towards bringing the technology of matting for the first time on a mobile device for delivering amazing portraits..... #researchtomarket #AI #MobileML

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Chris Kelly @ce_kelly

almost 7 years ago

Has anyone built an app using a model trained from Google's AutoML Edge? Seems easy to use, curious about how it's being used in the real world. #TensorFlow #AutoML #MobileML

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Fritz AI @fritzlabs

about 7 years ago

With our CLI, #MachineLearning engineers can: ✅Integrate with training workflows ✅Deploy models to test devices while training ✅Track model configs & hyperparameters Learn more about how Fritz can help you train, test, & track your #mobileML projects: https://t.co/loL93slF91

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tucan9389 @tucan9389

over 7 years ago

#JustPointIt #iOS #CoreML #MLKit #MobileML #PoseEstimation #OCR https://t.co/QajkmJMLi9

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Lucasoft co.uk @lucasoft_co_uk

over 7 years ago

RT @tchutch94 Part 2 of my 3-part blog series on activity classification for watchOS devices has been released!! Read about how I used @SkafosAI to train the model and deploy to the edge ---&gt; https://t.co/zOzYvlwWRR #skafosai #iOS #mobileML #dev

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Tyler Hutcherson @tchutch94

over 7 years ago · Virginia

Part 2 of my 3-part blog series on activity classification for watchOS devices has been released!! Read about how I used @SkafosAI to train the model and deploy to the edge ---> https://t.co/mIJzsr1rZ9 #skafosai #iOS #mobileML

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Tyler Hutcherson @tchutch94

over 7 years ago

Interested in the world of "Human Activity Recognition" (HAR) or Activity Classification on the edge? I just published part 1 of a 3-part series on building an app leveraging machine learning to classify your current activity ---> https://t.co/C0IMKTTIuK #skafosai #iOS #mobileML

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