Frameworks • iOS, macOS, tvOS, watchOS • 31:15
With Core ML you can bring incredible machine learning models to your app and run them entirely on-device. And when you use Core ML Converters, you can incorporate almost any trained model from TensorFlow or PyTorch and take full advantage of the GPU, CPU, and Neural Engine. Discover everything you need to begin converting existing models from other ML platforms and explore how to create custom operations that extend the capabilities of your models. Once you’ve converted a model to Core ML, learn more about deployment strategy for those models by watching “Use model deployment and security with Core ML.”
Speakers: Aseem Wadhwa, Gitesh Dawer