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user: jamesonthecrow created: 2017-12-11 karma: 91 submissions: Building an on-device face mask detector 1 points | 0 comments Deep learning has a size problem 131 points | 45 comments 0 points | 0 comments On-device training in Core ML 3 and why it matters for developers 2 points | 0 comments Combining artificial intelligence and augmented reality in mobile apps 5 points | 0 comments Synthetic data: your data moat is shallower than you think 3 points | 0 comments Synthetic Data: A bridge over the data moat 6 points | 1 comments 0 points | 0 comments Distributing on-device machine learning models with hardware targeting 3 points | 0 comments Building an iOS app to recognize handwritten digits with Core ML 1 points | 0 comments Best of Machine Learning in 2018: Reddit Edition 5 points | 0 comments Creating an extremely tiny, 17 KB style transfer model with just 11,868 weights 2 points | 0 comments Simplifying user experience with Create ML and on-device text classification 1 points | 0 comments Streamlining the Reddit app's submission UX with natural language processing 2 points | 0 comments 0 points | 0 comments 0 points | 0 comments 20 Minute Masterpiece: Training a Style Transfer Model with Colab and Fritz 1 points | 0 comments 0 points | 0 comments 0 points | 0 comments 0 points | 0 comments 0 points | 0 comments 0 points | 0 comments 0 points | 0 comments Announcing Fritz ML Grants – Get $1000 in cloud credits to build ML powered apps 8 points | 0 comments 0 points | 0 comments Fritz wants to help developers bring machine learning to their mobile apps 11 points | 0 comments The Lifecycle of Mobile Machine Learning Models 4 points | 0 comments Why data scientists and ML engineers should start learning Swift 7 points | 0 comments TensorFlow Dev Summit 2018 – Just the mobile bits 2 points | 0 comments 0 points | 0 comments