1Building an on-device face mask detector (opens in new tab)(heartbeat.fritz.ai)1jamesonthecrow6y ago0Save
2Deep learning has a size problem (opens in new tab)(heartbeat.fritz.ai)131jamesonthecrow6y ago45Save
3On-device training in Core ML 3 and why it matters for developers (opens in new tab)(heartbeat.fritz.ai)2jamesonthecrow7y ago0Save
4Combining artificial intelligence and augmented reality in mobile apps (opens in new tab)(heartbeat.fritz.ai)5jamesonthecrow7y ago0Save
5Synthetic data: your data moat is shallower than you think (opens in new tab)(heartbeat.fritz.ai)3jamesonthecrow7y ago0Save
6Synthetic Data: A bridge over the data moat (opens in new tab)(heartbeat.fritz.ai)6jamesonthecrow7y ago1Save
7Distributing on-device machine learning models with hardware targeting (opens in new tab)(heartbeat.fritz.ai)3jamesonthecrow7y ago0Save
8Building an iOS app to recognize handwritten digits with Core ML (opens in new tab)(heartbeat.fritz.ai)1jamesonthecrow7y ago0Save
9Best of Machine Learning in 2018: Reddit Edition (opens in new tab)(heartbeat.fritz.ai)5jamesonthecrow7y ago0Save
10Creating an extremely tiny, 17 KB style transfer model with just 11,868 weights (opens in new tab)(heartbeat.fritz.ai)2jamesonthecrow7y ago0Save
11Simplifying user experience with Create ML and on-device text classification (opens in new tab)(heartbeat.fritz.ai)1jamesonthecrow7y ago0Save
12Streamlining the Reddit app's submission UX with natural language processing (opens in new tab)(heartbeat.fritz.ai)2jamesonthecrow7y ago0Save
1320 Minute Masterpiece: Training a Style Transfer Model with Colab and Fritz (opens in new tab)(heartbeat.fritz.ai)1jamesonthecrow7y ago0Save
14Announcing Fritz ML Grants – Get $1000 in cloud credits to build ML powered apps (opens in new tab)(heartbeat.fritz.ai)8jamesonthecrow7y ago0Save
15Fritz wants to help developers bring machine learning to their mobile apps (opens in new tab)(techcrunch.com)11jamesonthecrow7y ago0Save
