© Brett Koonce 2021
B. KoonceConvolutional Neural Networks with Swift for Tensorflowhttps://doi.org/10.1007/978-1-4842-6168-2_11

11. MobileNetV3

Brett Koonce1  
(1)
Jefferson, MO, USA
 

In this chapter, we will look at a MobileNetV3, which delivers an optimized version of EfficientNet on mobile hardware by reducing the complexity of the network. This model is heavily based on EfficientNet’s search strategy with mobile-specific parameter space goals.

This is the current state of the art for mobile models, but at this point, we’re deeply into the realm of arguing about what hardware is running things, making 1:1 model comparisons difficult. Manufacturers are increasingly shipping custom hardware, and each device is going to run things slightly differently. ...

Get Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.