Linking pages
- Awesome Mobile Machine Learning. A growing list of awesome mobile (and… | by Austin Kodra | Heartbeat https://heartbeat.fritz.ai/awesome-mobile-machine-learning-6dfee1bbaafd 0 comments
- GitHub - onmyway133/awesome-machine-learning: 🎰 A curated list of machine learning resources, preferably CoreML https://github.com/onmyway133/fantastic-machine-learning/blob/master/README.md#blogs 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- Overview - Apple Machine Learning Research https://machinelearning.apple.com 226 comments
- How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & React Native | by Tim Anglade | Medium https://medium.com/@timanglade/how-hbos-silicon-valley-built-not-hotdog-with-mobile-tensorflow-keras-react-native-ef03260747f3 136 comments
- Not Hotdog on the App Store https://itunes.apple.com/us/app/not-hotdog/id1212457521?mt=8 131 comments
- GitHub - apple/turicreate: Turi Create simplifies the development of custom machine learning models. https://github.com/apple/turicreate 52 comments
- GitHub - kmather73/NotHotdog-Classifier: What would you say if I told you there is a app on the market that tell you if you have a hotdog or not a hotdog. https://github.com/kmather73/NotHotdog-Classifier 21 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Comet ML - Build better models faster https://www.comet.ml/ 4 comments
- GitHub - KaimingHe/deep-residual-networks: Deep Residual Learning for Image Recognition https://github.com/KaimingHe/deep-residual-networks 0 comments
- GitHub - forresti/SqueezeNet: SqueezeNet: AlexNet-level accuracy with 50x fewer parameters https://github.com/DeepScale/SqueezeNet 0 comments
- Using coremltools to Convert a Keras Model to Core ML for iOS | by Carlos Gonzalez | Heartbeat https://heartbeat.fritz.ai/using-coremltools-to-convert-a-keras-model-to-core-ml-for-ios-d4a0894d4aba 0 comments
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