Creating a model to understand the content of images has never been easier with the addition of multilabel classification, interactive model evaluation, and new APIs for custom training data augmentations. Use the Create ML app or framework to build custom models on top of Apple’s latest visual feature extractors for images and multilingual transformer-based embeddings for text. Weight pruning, quantization, and palletization utilities can be applied during model conversion or while training your model in frameworks like PyTorch to preserve accuracy during compression. Use the new Core ML Tools optimization module to help compress and optimize your models for deployment on Apple hardware.
The new Async Prediction API simplifies the creation of interactive ML-powered experiences and aids in maximizing hardware utilization.
Updates to the Core ML framework bring even faster model loading and inference.
