TensorFlow.js Part 1 - Develop Model in Python
We develop a TensorFlow model so that it can be converted into the TensorFlow.js format and integrated into a JavaScript application. Part one of three.
We develop a TensorFlow model so that it can be converted into the TensorFlow.js format and integrated into a JavaScript application. Part one of three.
Deconvolutions, transposed convolutions, fractionally strided convolutions, and what to do about artifacts generated by them.
How to export your YOLOv5 model into CoreML to be used on an iOS device.
How to modify IoU and confidence threshold of a coreml model in swift at runtime with MLFeatureProvider.
How to integrate a Pytorch model trained in Python into iOS (Swift) with AVFoundation and Vision.