Conversion Options
This section describes the following conversion options specific to neural network models:
- Image Inputs: Work with images as inputs for better performance and more convenience.
- Classifiers: Make classifier models with embedded class labels for the Vision framework.
- Flexible Input Shapes: Convert models that have flexible input shapes, which are common in fully convolutional models or dynamic
seq2seq
models. - Composite Operators: Create operators that build on other basic operators.
- Custom Operators: Create custom implementations of operators in Swift.
Updated about 4 years ago
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