| 1. | | Building an on-device face mask detector (fritz.ai) |
| 1 point by jamesonthecrow on May 29, 2020 | past |
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| 2. | | Deep learning has a size problem (fritz.ai) |
| 131 points by jamesonthecrow on Nov 8, 2019 | past | 45 comments |
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| 3. | | On-device training in Core ML 3 and why it matters for developers (fritz.ai) |
| 2 points by jamesonthecrow on June 11, 2019 | past |
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| 4. | | Combining artificial intelligence and augmented reality in mobile apps (fritz.ai) |
| 5 points by jamesonthecrow on June 7, 2019 | past |
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| 5. | | Synthetic data: your data moat is shallower than you think (fritz.ai) |
| 3 points by jamesonthecrow on April 27, 2019 | past |
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| 6. | | Synthetic Data: A bridge over the data moat (fritz.ai) |
| 6 points by jamesonthecrow on April 25, 2019 | past | 1 comment |
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| 7. | | Distributing on-device machine learning models with hardware targeting (fritz.ai) |
| 3 points by jamesonthecrow on Feb 14, 2019 | past |
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| 8. | | Building an iOS app to recognize handwritten digits with Core ML (fritz.ai) |
| 1 point by jamesonthecrow on Dec 12, 2018 | past |
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| 9. | | Best of Machine Learning in 2018: Reddit Edition (fritz.ai) |
| 5 points by jamesonthecrow on Dec 7, 2018 | past |
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| 10. | | Creating an extremely tiny, 17 KB style transfer model with just 11,868 weights (fritz.ai) |
| 2 points by jamesonthecrow on Nov 30, 2018 | past |
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| 11. | | Simplifying user experience with Create ML and on-device text classification (fritz.ai) |
| 1 point by jamesonthecrow on Nov 27, 2018 | past |
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| 12. | | Streamlining the Reddit app's submission UX with natural language processing (fritz.ai) |
| 2 points by jamesonthecrow on Nov 16, 2018 | past |
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| 13. | | 20 Minute Masterpiece: Training a Style Transfer Model with Colab and Fritz (fritz.ai) |
| 1 point by jamesonthecrow on Oct 31, 2018 | past |
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| 14. | | Announcing Fritz ML Grants – Get $1000 in cloud credits to build ML powered apps (fritz.ai) |
| 8 points by jamesonthecrow on Aug 9, 2018 | past |
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| 15. | | Fritz wants to help developers bring machine learning to their mobile apps (techcrunch.com) |
| 11 points by jamesonthecrow on July 23, 2018 | past |
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| 16. | | The Lifecycle of Mobile Machine Learning Models (fritz.ai) |
| 4 points by jamesonthecrow on April 25, 2018 | past |
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| 17. | | Why data scientists and ML engineers should start learning Swift (fritz.ai) |
| 7 points by jamesonthecrow on April 11, 2018 | past |
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| 18. | | TensorFlow Dev Summit 2018 – Just the mobile bits (fritz.ai) |
| 2 points by jamesonthecrow on March 31, 2018 | past |
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| 19. | | Benchmarking Core ML – Estimating model runtimes on iOS (fritz.ai) |
| 1 point by jamesonthecrow on March 5, 2018 | past |
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| 20. | | Benchmarking Core ML – Estimating model runtimes on iOS (fritz.ai) |
| 5 points by jamesonthecrow on March 1, 2018 | past |
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| 21. | | Core ML Simplified with Lumina (fritz.ai) |
| 10 points by jamesonthecrow on Jan 30, 2018 | past | 2 comments |
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| 22. | | Mobile Machine Learning 101: Glossary (fritz.ai) |
| 6 points by jamesonthecrow on Jan 25, 2018 | past |
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