Skip to Main Content
Machine Learning with Core ML
book

Machine Learning with Core ML

by Joshua Newnham
June 2018
Intermediate to advanced content levelIntermediate to advanced
378 pages
8h 43m
English
Packt Publishing
Content preview from Machine Learning with Core ML

Converting Keras Tiny YOLO to Core ML

In the previous section, we discussed the concepts of the model and algorithm we will be using in this chapter. In this section, we will be moving one step closer to realizing the example project for this chapter by converting a trained Keras model of Tiny YOLO to Core ML using Apple's Core ML Tools Python package; but, before doing so, we will quickly discuss the model and the data it was trained on.

YOLO was conceived on a neural network framework called darknet, which is currently not supported by the default Core ML Tools package; fortunately, the authors of YOLO and darknet have made the architecture and weights of the trained model publicly available on their website at https://pjreddie.com/darknet/yolov2/ ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Machine Learning with ML.NET

Hands-On Machine Learning with ML.NET

Jarred Capellman

Publisher Resources

ISBN: 9781788838290Supplemental Content